Donald Wunsch
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American computer engineer
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Why Is Donald Wunsch Influential?
(Suggest an Edit or Addition)According to Wikipedia, Donald C. Wunsch II is Mary K. Finley Distinguished Professor of computer engineering at the Missouri University of Science and Technology, and a Fellow of the Institute of Electrical and Electronics Engineers He is known for his work on " hardware implementations, reinforcement and unsupervised learning".
Donald Wunsch's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Survey of clustering algorithms (2005) (5802)
- Handbook of Learning and Approximate Dynamic Programming (2006) (786)
- Clustering Algorithms in Biomedical Research: A Review (2010) (280)
- Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG (2000) (252)
- Adaptive critic designs: A case study for neurocontrol (1995) (191)
- Principal Manifolds for Data Visualization and Dimension Reduction (2007) (144)
- Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization (2007) (137)
- Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm (2004) (136)
- Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation (2001) (131)
- A proposition on memes and meta-memes in computing for higher-order learning (2009) (128)
- Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence) (2004) (125)
- A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering (2012) (119)
- Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions (2014) (110)
- Training Recurrent Neural Networks With the Levenberg–Marquardt Algorithm for Optimal Control of a Grid-Connected Converter (2015) (99)
- Neural network explanation using inversion (2007) (91)
- Improved Temporal Difference Methods with Linear Function Approximation (2004) (89)
- Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (2008) (88)
- Reinforcement Learning and Its Relationship to Supervised Learning (2004) (88)
- Supervised Actor‐Critic Reinforcement Learning (2012) (87)
- Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks (2003) (84)
- Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data (2007) (82)
- Design of an adaptive neural network based power system stabilizer (2003) (81)
- Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction (2000) (76)
- Associating Internet Usage with Depressive Behavior Among College Students (2012) (75)
- Adaptive critic designs and their applications (1997) (73)
- Leader–Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning (2018) (72)
- Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems (2017) (67)
- Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning (2015) (65)
- Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders (2019) (62)
- Online barrier-actor-critic learning for H∞ control with full-state constraints and input saturation (2020) (50)
- ModelBased Adaptive Critic Designs (2004) (49)
- A theory of independent fuzzy probability for system reliability (1999) (46)
- Time series prediction with recurrent neural networks using a hybrid PSO-EA algorithm (2004) (45)
- Coordinated machine learning and decision support for situation awareness (2008) (44)
- BARTMAP: A viable structure for biclustering (2011) (43)
- Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning (2019) (42)
- Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming (2017) (42)
- A Survey of Adaptive Resonance Theory Neural Network Models for Engineering Applications (2019) (40)
- Fuzzy regression by fuzzy number neural networks (2000) (40)
- Signed graphs for portfolio analysis in risk management (2002) (39)
- An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances (2014) (39)
- Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph (2020) (38)
- Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators (2020) (37)
- Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results (2020) (35)
- Guidance in the Use of Adaptive Critics for Control (2004) (35)
- Hamiltonian-Driven Hybrid Adaptive Dynamic Programming (2020) (35)
- Inductive sorting-out GMDH algorithms with polynomial complexity for active neurons of neural network (1999) (33)
- ADP: Goals, Opportunities and Principles (2004) (32)
- The general approximation theorem (1998) (31)
- Neural network detection and identification of electronic devices based on their unintended emissions (2005) (31)
- Hierarchical Decision Making (2004) (30)
- Advanced neural network training methods for low false alarm stock trend prediction (1996) (30)
- Fuzzy number neural networks (1999) (30)
- Recent advances in cluster analysis (2008) (29)
- An adaptive strategy via reinforcement learning for the prisoner U+02BC s dilemma game (2018) (29)
- Application of the method of elastic maps in analysis of genetic texts (2003) (28)
- Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators (2019) (28)
- Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering (2016) (28)
- Impact-induced damage characterization of composite plates using neural networks (2007) (27)
- Examining plant uptake and translocation of emerging contaminants using machine learning: Implications to food security. (2019) (26)
- A deeper look at plant uptake of environmental contaminants using intelligent approaches. (2019) (26)
- An Application of Neural Networks to Group Technology (1991) (26)
- Clustering with differential evolution particle swarm optimization (2010) (26)
- Unsupervised Feature Learning Classification With Radial Basis Function Extreme Learning Machine Using Graphic Processors (2017) (26)
- Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors (2021) (26)
- Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure (2019) (25)
- The cellular simultaneous recurrent network adaptive critic design for the generalized maze problem has a simple closed-form solution (2000) (25)
- Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator (2019) (25)
- Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems (2017) (25)
- Image Recognition Systems Based on Random Local Descriptors (2006) (24)
- Vector control of a grid-connected rectifier/inverter using an artificial neural network (2012) (23)
- The random subspace coarse coding scheme for real-valued vectors (1999) (23)
- Abductive reasoning with recurrent neural networks (2003) (23)
- Artificial Intelligence to Investigate Modulus of Elasticity of Recycled Aggregate Concrete (2019) (23)
- Computer Go: A Grand Challenge to AI (2007) (23)
- Autonomous Control of a Line Follower Robot Using a Q-Learning Controller (2020) (23)
- Neural Networks and Micromechanics (2009) (23)
- Adaptive task allocation for search area coverage (2009) (23)
- Development of Blast Furnace Burden Distribution Process Modeling and Control (2017) (22)
- Tissue classification through analysis of gene expression data using a new family of ART architectures (2002) (21)
- ART properties of interest in engineering applications (2009) (21)
- Evolutionary swarm neural network game engine for Capture Go (2010) (20)
- A GPU based Parallel Hierarchical Fuzzy ART clustering (2011) (20)
- Computational Learning Approaches to Data Analytics in Biomedical Applications (2019) (20)
- Time Delay Neural Network for Small Time Series Data Sets (1994) (19)
- Dual vigilance fuzzy adaptive resonance theory (2019) (19)
- IEEE/CAA Journal of Automatica Sinica (2015) (19)
- Blood biomarkers for mild traumatic brain injury: a selective review of unresolved issues (2021) (19)
- Extended Kalman Filter Training of Neural Networks on a SIMD Parallel Machine (2002) (18)
- Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes (2016) (18)
- Wind turbine power estimation by neural networks with Kalman filter training on a SIMD parallel machine (1999) (17)
- MicroRNA expression profile based cancer classification using Default ARTMAP (2009) (16)
- Robust Reinforcement Learning for Heating, Ventilation, and Air Conditioning Control of Buildings (2004) (16)
- Decentralized Neural Network-based Excitation Control of Large-scale Power Systems (2007) (16)
- Heuristic dynamic programming for mobile robot path planning based on Dyna approach (2016) (15)
- Backpropagation and Ordered Derivatives in the Time Scales Calculus (2010) (15)
- Advanced Adaptive Critic Designs (1996) (15)
- Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model (2021) (15)
- Speeding up VLSI Layout Verification Using Fuzzy Attributed Graphs Approach (2006) (14)
- Training Winner-Take-All Simultaneous Recurrent Neural Networks (2007) (14)
- Vigilance adaptation in adaptive resonance theory (2013) (14)
- An Information-Theoretic-Cluster Visualization for Self-Organizing Maps (2018) (14)
- Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems (2021) (14)
- Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence (2018) (14)
- Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model (2015) (14)
- Neural network for wind power generation with compressing function (1997) (13)
- Generalization of Features in the Assembly Neural Networks (2004) (13)
- Levenberg-Marquardt and Conjugate Gradient methods applied to a high-order neural network (2013) (13)
- A study on exploiting VAT to mitigate ordering effects in Fuzzy ART (2018) (13)
- Recurrent neural networks with backtrack-points and negative reinforcement applied to cost-based abduction (2005) (13)
- Guest Editorial Special Issue on Neural Networks for Feedback Control Systems (2007) (13)
- A novel grid load management technique using electric water heaters and Q-learning (2014) (12)
- Probabilistic and Time-Delay Techniques for Conservative Short-term Stock Trend Prediction (1995) (12)
- Model Order Reduction Based on Agglomerative Hierarchical Clustering (2019) (12)
- Convergence of critic-based training (1997) (12)
- Chapter 20 - Clustering (2014) (12)
- Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply] (1997) (12)
- LabRat™: Miniature robot for students, researchers, and hobbyists (2009) (11)
- A bare-bones ant colony optimization algorithm that performs competitively on the sequential ordering problem (2014) (11)
- Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation [Technology Review] (2008) (11)
- Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures (2016) (11)
- Improving the performance of MAX-MIN ant system on the TSP using stubborn ants (2012) (11)
- Data analysis and machine learning tools in MATLAB and Python (2020) (11)
- Demodulation of Extrinsic Fabry-Pérot Interferometric Sensors for Vibration Testing Using Neural Networks (2004) (11)
- Supervised ActorCritic Reinforcement Learning (2004) (11)
- No-boundary thinking in bioinformatics research (2013) (11)
- Online Model-Free n-Step HDP With Stability Analysis (2020) (10)
- Encoding Time-Series Ground Motions as Images for Convolutional Neural Networks-Based Seismic Damage Evaluation (2021) (10)
- Query-based learning for aerospace applications (2003) (10)
- Memetic Mission Management [Application Notes] (2010) (10)
- A training technique for fuzzy number neural networks (1997) (10)
- Biclustering ARTMAP collaborative filtering recommender system (2016) (10)
- Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study (2020) (10)
- Inhibitory connections in the assembly neural network for texture segmentation (1998) (10)
- Problems of Further Development of GMDH Algorithms: Part 2 (2002) (10)
- Node-Based Resilience Measure Clustering with Applications to Noisy and Overlapping Communities in Complex Networks (2018) (10)
- An Improved N-Step Value Gradient Learning Adaptive Dynamic Programming Algorithm for Online Learning (2020) (10)
- Information Content of the Frequency Dictionaries, Reconstruction, Transformation and Classification of Dictionaries and Genetic Texts (2001) (10)
- Analysis of hyperspectral data with diffusion maps and Fuzzy ART (2009) (10)
- Predictive head tracking for virtual reality (1999) (9)
- Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration (2017) (9)
- Learning From Experience: An Automatic pH Neutralization System Using Hybrid Fuzzy System and Neural Network (2018) (9)
- Neural networks and Markov models for the iterated prisoner's dilemma (2009) (9)
- Classification of epileptic EEG using neural network and wavelet transform (1996) (9)
- Toward Dynamic Stochastic Optimal Power Flow (2004) (9)
- Applications of Approximate Dynamic Programming in Power Systems Control (2004) (9)
- Gaussian Versus Cauchy Membership Functions in Fuzzy PSO (2007) (9)
- A Kinetic Model for Blood Biomarker Levels After Mild Traumatic Brain Injury (2021) (9)
- Validity index-based vigilance test in adaptive resonance theory neural networks (2017) (9)
- Unified Computational Intelligence for Complex Systems (2010) (8)
- Using adaptive resonance theory and local optimization to divide and conquer large scale traveling salesman problems (2003) (8)
- Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning (2022) (8)
- Neural network inverse models for propulsion vibration diagnostics (2001) (8)
- Evolutionary programming to optimize an assembly program (2002) (8)
- Visualization of Any Data with Elastic Map Method (2001) (8)
- A Novel Subcircuit Extraction Algorithm Using Heuristic Dynamic Programming (HDP) (2002) (8)
- An extended EigenAnt colony system applied to the sequential ordering problem (2014) (8)
- TD methods applied to mixture of experts for learning 9/spl times/9 Go evaluation function (1999) (8)
- Adaptive Resonance Theory Design in Mixed Memristive-Fuzzy Hardware (2012) (8)
- Particle Swarm Optimization in an adaptive resonance framework (2015) (8)
- Vibration analysis via neural network inverse models to determine aircraft engine unbalance condition (2003) (8)
- Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space (2021) (8)
- Hands-On Projects and Exercises to Strengthen Understanding of Basic Computer Engineering Concepts (2005) (8)
- Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes (2006) (7)
- The Boundedness Conditions for Model-Free HDP( $\lambda$ ) (2019) (7)
- Evaluation of standard and semantically-augmented distance metrics for neurology patients (2020) (7)
- Hierarchical Approaches to Concurrency, Multiagency, and Partial Observability (2004) (7)
- Hierarchical extreme learning machines (2018) (7)
- Using default ARTMAP for cancer classification with MicroRNA expression signatures (2009) (7)
- Ant Colony Optimization Applied to the Training of a High Order Neural Networks with Adaptable Exponential Weights (2016) (7)
- Off-policy reinforcement learning for robust control of discrete-time uncertain linear systems (2017) (7)
- An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups (2020) (7)
- A Game-theoretical Approach for a Finite-time Consensus of Second-order Multi-agent System (2019) (6)
- Monitoring Student Internet Patterns: Big Brother or Promoting Mental Health? (2013) (6)
- Adaptive Resonance Theory in Social Media Data Clustering (2019) (6)
- A Study of Particle Swarm Optimization in Gene Regulatory Networks Inference (2006) (6)
- Nested-loop neural network vector control of permanent magnet synchronous motors (2013) (6)
- Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm (2015) (6)
- Classical Neural Networks (2010) (6)
- Memristor-Based HTM Spatial Pooler With On-Device Learning for Pattern Recognition (2022) (6)
- Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games (2019) (6)
- Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning (2017) (6)
- Optoelectronic learning machine (1990) (6)
- The subcircuit extraction problem (2003) (6)
- Unsupervised feature learning classification using an extreme learning machine (2013) (5)
- Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning (2017) (5)
- Multi-class cancer classification by semi-supervised ellipsoid ARTMAP with gene expression data (2004) (5)
- Multi-prototype local density-based hierarchical clustering (2015) (5)
- Containment Control of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach (2018) (5)
- Fuzzy Adaptive Resonance Theory, Diffusion Maps and their applications to Clustering and Biclustering (2014) (5)
- Time series prediction via two-step clustering (2015) (5)
- Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning (2017) (5)
- A fuzzy perspective towards technical analysis-case study of trend prediction using moving averages (1999) (5)
- Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype (2017) (5)
- Detection and Identification of Vehicles Based on Their Spark-Free Unintended Electromagnetic Emissions (2018) (5)
- Computational Intelligence in Clustering Algorithms, With Applications (2007) (5)
- Neurocontrollers for Ball-and-Beam Systems (1996) (5)
- Phase-based storage of information in the cerebellum (1999) (5)
- Cognitive relevance (2017) (5)
- Forecast-Informed Energy Storage Utilization in Local Area Power Systems (2019) (4)
- Algebraic Approach and Optimal Physical Clusterization in Interpolation Problems of Artificial Intelligence (2000) (4)
- Advances in Neural Network Research: IJCNN 2003 (2003) (4)
- Control of three-phase grid-connected microgrids using artificial neural networks (2015) (4)
- IEEE International Conference on Neural Networks - Conference Proceedings (2004) (4)
- Design of a K-Winners-Take-All Model With a Binary Spike Train (2019) (4)
- Prediction of Yarn Strength from Fiber Properties Using Fuzzy ARTMAP (1997) (4)
- Algorithms for derivation of structurally stable Hamiltonian signed graphs (2004) (4)
- Model-Free Event-Triggered Containment Control of Multi-Agent Systems (2018) (4)
- Backpropagation Through Time and Derivative Adaptive CriticsA Common Framework for ComparisonPortions of this chapter were previously published in [4, 7,9, 1214,23]. (2004) (4)
- Neural Networks Applied to Electromagnetic Compatibility (EMC) Simulations (2003) (4)
- Admiring the Great Mountain: A Celebration Special Issue in Honor of Stephen Grossbergs 80th Birthday (2019) (4)
- Special issue on neural networks for feedback control systems. (2007) (4)
- Modified cellular simultaneous recurrent networks with cellular particle swarm optimization (2012) (4)
- Kernel‐Based Clustering (2008) (4)
- Higher Order Neural Network Architectures for Agent-Based Computational Economics and Finance (2009) (4)
- Neural network modeling of data with gaps (2000) (4)
- An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors (2020) (4)
- Adaptive Critic Design for Optimization of Micromechanical Factory Neural Control Systems (1997) (4)
- Neural network modeling of data with gaps: method of principal curves Carleman's formula, and other (2003) (4)
- Adaptive Critic Based Neural Network for ControlConstrained Agile Missile (2004) (4)
- Traffic Monitoring Using Strain Measurements and Neural Networks (2006) (4)
- Selected approaches to supervised learning (2020) (4)
- Negative reinforcement and backtrack-points for recurrent neural networks for cost-based abduction (2005) (3)
- Cross-Market Price Difference Forecast Using Deep Learning for Electricity Markets (2020) (3)
- Reconfigurable disruption tolerant routing via Reinforcement Learning (2009) (3)
- Discrete-time method for robust global stabilization of induction motor (2000) (3)
- A Neural Network for Segmentation of Line Drawings into Lines of Different Orientations (2000) (3)
- Neural network stabilizing control of single machine power system with control limits (2004) (3)
- Shape Analysis of Traffic Flow Curves using a Hybrid Computational Analysis (2016) (3)
- Safe Intermittent Reinforcement Learning for Nonlinear Systems (2019) (3)
- Neural-network based vector control of VSCHVDC transmission systems (2015) (3)
- StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search (2020) (3)
- Complex Associations between Environmental Factors and Child Growth: Novel Mixed-Methods Approach (2019) (3)
- Automatic building identification using gps and machine learning (2010) (3)
- An information theoretic ART for robust unsupervised learning (2016) (3)
- Climbing fibre Purkinje cell twins are found (1999) (3)
- Video compressive sensing with 3-D Wavelet and 3-D Noiselet (2012) (3)
- Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers (2020) (3)
- Vector Control of Permanent Magnet Synchronous Motor using Adaptive Recurrent Neural Networks (3)
- An evolutionary programming methodology for portfolio selection (2000) (3)
- Hidden Markov Model with Information Criteria Clustering and Extreme Learning Machine Regression for Wind Forecasting (2015) (3)
- Online Multimodal Co-indexing and Retrieval of Social Media Data (2019) (3)
- Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP) (2006) (3)
- Renewable Energy: Solar, Wind, and Others (2019) (3)
- A Data Compressed ART1 Neural Network Algorithm (1990) (3)
- Exploring Reinforcement Learning Method in Bidding Strategy Development for Day-Ahead Electricity Market (2020) (2)
- Reinforcement Learning in Large, High‐Dimensional State Spaces (2004) (2)
- Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay. (2022) (2)
- Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning (2021) (2)
- Multiobjective Control Problems by Reinforcement Learning (2004) (2)
- Corrections To "Adaptive Critic Designs" (1997) (2)
- Adaptive Resonance Theory (ART) for Social Media Analytics (2019) (2)
- Convergence of Recurrent Neuro-Fuzzy Value-Gradient Learning With and Without an Actor (2020) (2)
- Subsumption reduces dataset dimensionality without decreasing performance of a machine learning classifier (2021) (2)
- iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations. (2022) (2)
- Topological biclustering ARTMAP for identifying within bicluster relationships (2022) (2)
- Experiments on Adaptive Techniques for Host-Based Intrusion Detection (2001) (2)
- Phase-based cerebellar learning of dynamic signals (2000) (2)
- Incremental cluster validity index-guided online learning for performance and robustness to presentation order (2021) (2)
- TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study (2020) (2)
- Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics (2020) (2)
- Computational intelligence and the traveling salesman (2004) (2)
- Book ReviewPattern Recognition by Self-Organizing Neural Networks, Gail Carpenter, Stephen Grossberg (Eds.), MIT Press (1991), ISBN: 0-262-03176-0 (1992) (2)
- An Agent-Based computational model of a self-organizing project management paradigm for research teams (2009) (2)
- Learning from Experience: Real-Time H2S Monitoring System Using Fuzzy ART Unsupervised Learning (2018) (2)
- Applications of Neural Networks in Micromechanics (2010) (2)
- Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine (2017) (2)
- Robotic go: Exploring a different perspective on human-computer interaction with the game of go (2009) (2)
- Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions (2019) (2)
- Promoting Search Diversity in Ant Colony Optimization with Stubborn Ants (2012) (2)
- Neural hypercolumn architecture for the preprocessing of radiographic weld images (1990) (2)
- Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero (2019) (2)
- Advanced Intelligent Computing Theories and Applications With Aspects of Contemporary Intelligent Computing Techniques: 4th International Conference on ... in Computer and Information Science) (2008) (2)
- Neurotheology in interfaith dialogue (2020) (2)
- Handling missing data for unsupervised learning with an application on a FITBIR Traumatic Brain Injury (TBI) Dataset (2020) (2)
- Dual Vigilance Hypersphere Adaptive Resonance Theory (2019) (2)
- 2007 IEEE international symposium on approximate dynamic programming and reinforcement learning (2007) (2)
- Data Visualization and High‐Dimensional Data Clustering (2009) (2)
- FuzzyART: An R Package for ART-based Clustering (2021) (1)
- An Application of Unified Computational Intelligence (2010) (1)
- iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices (2020) (1)
- Examples of Computer Vision Systems Applications Based on Neural Networks (2019) (1)
- Detection of influence of brain-stem neurons and intra-cranial field potentials on the diaphragm activity (1998) (1)
- Backpropagation on Time Scales (2010) (1)
- Schizophrenia Classification Using Resting State EEG Functional Connectivity: Source Level Outperforms Sensor Level (2021) (1)
- A Connectionist Approach to Cost-Based Abduction (2005) (1)
- Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems (2006) (1)
- Stability Properties of Cerebellar Neural Networks: The Purkinje Cell — Climbing Fiber Dynamic Module (1999) (1)
- Adaptive Dynamic Programming in the Hamiltonian-Driven Framework (2021) (1)
- BPTT and DAC — A Common Framework for Comparison (2012) (1)
- Intelligent Automation in Renewable Energy (2019) (1)
- No-Boundary Thinking in Bioinformatics (2017) (1)
- Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study (2019) (1)
- Robust Reinforcement Learning Using IntegralQuadratic Constraints (2004) (1)
- Solar Thermal Power Station for Green Building Energy Supply (2019) (1)
- Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems (2019) (1)
- Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent (2018) (1)
- Fuzzy Logic in Engineering Ethics Analysis (2003) (1)
- Representations of Uncertainty in a Lattice Theoretic Framework (2002) (1)
- Cerebellar learning: a possible phase switch in evolution (1999) (1)
- Methods and Systems for Biclustering Algorithm (2020) (1)
- Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes. (2016) (1)
- Performance Issues for Extreme Learning Machines (2014) (1)
- A Switched-Resistor Approach to Hardware Implementation of Neural Networks (2005) (1)
- Advanced architecture and training algorithms for recurrent neural networks (2006) (1)
- A comparison of the decision tree approach and the neural-networks-based heuristic dynamic programming approach for subcircuit extraction problem (2003) (1)
- Subtypes of relapsing-remitting multiple sclerosis identified by network analysis (2022) (1)
- Neural networks with categorical valued inputs and applications to intrusion detection (2004) (1)
- Micromechanics as a Testbed for Artificial Intelligence Methods Evaluation (2006) (1)
- Safety Analysis of Redundant Systems Using Fuzzy Probability Theory (1997) (1)
- The Ethical Status of an AI (2018) (1)
- CMOS IC Topology Design Verification by Heuristic Dynamic Programming (HDP) (2002) (1)
- Identification of Choke Points in a Complex Logistics Optimization System (1995) (1)
- Exploring the Unknown Nature of Data: Cluster Analysis and Applications (2010) (1)
- Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs. (2021) (1)
- Control, Optimization, Security, and Self‐healing of Benchmark Power Systems (2012) (1)
- Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems (2018) (1)
- Computational intelligence and cerebellar enigmas (1998) (1)
- LargeScale Data Clustering (2009) (1)
- The need for improved reinforcement learning techniques in intelligent agents (1997) (1)
- Comparative study of neural-network-based learning strategies for collective robotic search problem (2001) (1)
- Online Identification of Turbogenerator's Dynamics using a Neuro-Identifier (2003) (0)
- Automatization of Solar Concentrator Manufacture and Assembly (2019) (0)
- Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems (2017) (0)
- Local Density-based Hierarchical Clustering (2015) (0)
- Blurring the Distinctions Between Supervised and Unsupervised Learning (2012) (0)
- Solar Concentrators: State of the Art (2019) (0)
- A bare-bones ant colony optimization algorithm that performs competitively on the sequential ordering problem (2014) (0)
- Fundamentals and Future Possibilities in Hybrid Learning (2016) (0)
- Complications of Realistic Data-Intensive Applications (2015) (0)
- The visualization of Orphadata neurology phenotypes (2023) (0)
- Approximate Dynamic Programming on Time Scales (2010) (0)
- Real-Time Dual Heuristic Programming-Based Neurocontroller for a Turbogenerator in a Multimachine Power System (2003) (0)
- A General Training Procedure for Stable Control with Adaptive Critic Designs (1997) (0)
- Enhancing supervisory training signals with environmental reinforcement learning using adaptive dynamic programming and artificial neural networks (2016) (0)
- Information Theoretical Sliding Window Optimization Applied to Discretization of Continuous Signals (2004) (0)
- Clustering: Methodology, hybrid systems, visualization, validation and implementation (2020) (0)
- Scholars' Mine Scholars' Mine Query-Based Learning for Aerospace Applications Query-Based Learning for Aerospace Applications (2020) (0)
- Innovations in Supervised, Unsupervised and Reinforcement Learning (2014) (0)
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- Energy Applications of Extreme Learning Machines (2016) (0)
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- Harmonic control for robust global regulation of induction motor (1999) (0)
- Statistical analysis tools (2020) (0)
- NearOptimal Control Through Reinforcement Learning and Hybridization (2004) (0)
- Results We’ve Seen and Results I Wish We’ve Seen in Reinforcement Learning (2014) (0)
- Hardware for Neural Networks (2010) (0)
- ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning (2022) (0)
- Search Context Awareness in Several Ant Colony Optimization Models (2013) (0)
- Validation, Similarity and Hierarchy: Opportunities for Relating Reinforcement and Unsupervised Learning (2013) (0)
- The Time Scales Calculus (2010) (0)
- Database-driven Neural Networks and Evolutionary Computation (2003) (0)
- Attacking the Traveling Salesman Problem Using Neural Networks (2004) (0)
- Recursive and Non-Recursive Algorithms for the Group Size Counting Problem in Computer Go (2010) (0)
- 6. The Linear Programming Approach to Approximate Dynamic Programming (2012) (0)
- Associative-Projective Neural Networks (APNNs) (2010) (0)
- Neural NetworkBased Clustering (2009) (0)
- Neural Network Enhancement of the Los Alamos Force Deployment Estimator (1994) (0)
- Comparative Analysis of Regression and Neural Network Models for Wind Power (1998) (0)
- Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space (2021) (0)
- Smart Truss for Education (2011) (0)
- A Threshold Polynomial Neural Network (1994) (0)
- Data Analytics Challenges in Biomedical Engineering (2016) (0)
- Super-synchrony: Climbing Fiber Purkinje Cells Twins, in Search of Events and a Case Study (1998) (0)
- Vibration Analysis Using Extrinsic Fabry-Perot Interferometric Sensors and Neural Networks (2002) (0)
- 116-M 05 Artificial Intelligence to Investigate Modulus of Elasticity of Recycled Aggregate Concrete by Seyedhamed Sadati , Leonardo (2019) (0)
- Default ARTMAP Neural Networks for Classification of Anthrax Time Series from Inhalation Anthrax Models (2008) (0)
- Validation Measures in Clustering (2015) (0)
- Scholars' Mine Scholars' Mine Image Recognition Systems with Permutative Coding Image Recognition Systems with Permutative Coding (2020) (0)
- AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms (2022) (0)
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- Artificial Neural Networks for Identifying Turbogenerators in a Multimachine Power System (2001) (0)
- 10. Approximate Dynamic Programming for High-Dimensional Resource Allocation Problems (2012) (0)
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- Data fusion and classification using a hybrid intrinsic cellular inference network (2010) (0)
- Subsumption, Vectorization, Heat Maps, and Word Clouds Support the Visualization of Orphadata Neurology Phenotypes (2022) (0)
- Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability (2022) (0)
- Adaptive control model of an active automobile suspension system (1993) (0)
- Advanced Intelligent Computing Theories and Applications With Aspects of Theoretical and Methodological Issues: Fourth International Conference on Intelligent Computing Theories and Applications (2008) (0)
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- A Hybrid of Computational Intelligence Techniques for Shape Analysis of Traffic Flow Curves (2015) (0)
- How to Establish Successful Cooperative Student Learning Centers for STEM Courses (2003) (0)
- Innovations and Open Problems in Supervised, Unsupervised and Reinforcement Learning [Invited Lecture] (2014) (0)
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- Near‐Optimal Control Via Reinforcement Learning and Hybridization (2012) (0)
- Locating Moving Objects over Mobile Sensor Network (2003) (0)
- A Max-plus, DIOID Based Neural Network for Discrete Event System Modeling (2003) (0)
- Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues (2008) (0)
- A Connectionist Approach to Cost-Based Abduction(Invited Paper) (2005) (0)
- Nonlinear Modeling and Neural Network Analysis for EEG Brain-computer Interface (2015) (0)
- Personalized Web Image Organization (2019) (0)
- Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (2007) (0)
- A Decision Tree Approach for Subcircuit Extraction Problem (2003) (0)
- [Activity of the climbing fiber innervating various Purkinje cells]. (1999) (0)
- Adapting Risk Management and Computational Intelligence Network Optimization Techniques to Improve Traffic Throughput and Tail Risk Analysis (2014) (0)
- The INNS President's Welcome (2005) (0)
- Texture Recognition in Micromechanics (2010) (0)
- Fuzzy c-Means Clustering Based Polarization Assessment in Intelligent Argumentation System for Collaborative Decision Support (2013) (0)
- The Unified Art Architecture (2010) (0)
- On a Role of Climbing Fiber in Granule Cells - Purkinje Cell Connections Tuning (1999) (0)
- Solar Concentrators with Flat Mirrors (2019) (0)
- Hierarchical Clustering for Biological Data (2012) (0)
- Unified Computational Intelligence in Social Science (2010) (0)
- Scholars' Mine Scholars' Mine Backpropagation of Accuracy Backpropagation of Accuracy (2020) (0)
- Adaptive critic design for computer intrusion detection system (2001) (0)
- Scholars' Mine Scholars' Mine Adaptive Critic Designs Adaptive Critic Designs (2020) (0)
- BARTMAP vs. . Iterative Two-Way Clustering, and Other Innovations (2012) (0)
- IEEE CCMB 2014 committee (2014) (0)
- Computer Intelligent Systems for Manufacture and Control (2019) (0)
- Neurocontrol of Turbogenerators with Derivative Adaptive Critics (2000) (0)
- Community Discovery in Heterogeneous Social Networks (2019) (0)
- Computational Intelligence Collaboration (2014) (0)
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- Adaptive Resonance Theory and Diffusion Maps for Clustering Applications in Pattern Analysis (2014) (0)
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- Welcome to the special issue: the best of the best (2003) (0)
- Automatic building identification under bomb damage conditions (2009) (0)
- Adaptive Algorithms Based on Technical Vision (2010) (0)
- Phase-based Storage of Information in Cerebellum: A Case of Stationary Random Inputs (1998) (0)
- Agents, Hybrids, Signals, Object Nets: Directions in Adaptive Dynamic Programming (2014) (0)
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- Back-Propagation of Accuracy (2003) (0)
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- Evaluation of cluster validation metrics (2020) (0)
- Gene Expression Analysis using Adaptive Resonance Theory (2018) (0)
- Dynamic Intermittent Suboptimal Control: Performance Quantification and Comparisons (2018) (0)
- Neural Networks and Micromechanics - ReadingSample (2016) (0)
- Matlab-based Neural Network Introduction for Sensors Curriculum (2005) (0)
- The subcircuit extraction problem - Potentials, IEEE (2001) (0)
- Origins of adaptive critic designs : reinforcement learning , dynamic programming , and backpropagation (2007) (0)
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- How Can a Machine Promote Peace (2017) (0)
- Tau kinetics in Alzheimer's disease (2022) (0)
- A Hierarchy of Control Problems and Implementation of Adaptive Critic Solutions (1995) (0)
- Neural hypercolumn architecture for the preprocessing in radiographic weld images : Proceedings of the Conference on Applications of Artificial Neural Networks, Orlando, Florida (United States), 18–20 Apr. 1990. pp.378–388 Edited by S.K. Rogers. SPIE, Vol. 1294 (1990) (1992) (0)
- Integrated particle swarm and evolutionary algorithm approaches to the quadratic assignment problem (2017) (0)
- Control, Optimization, Security, and Selfhealing of Benchmark Power SystemsThe views expressed here are those of the authors, Momoh (on leave from Howard University), and Zivi and not the official views of NSF and U.S. Naval Academy, USA (2004) (0)
- 21. Helicopter Flight Control Using Direct Neural Dynamic Programming (2012) (0)
- Clustering and Its Extensions in the Social Media Domain (2019) (0)
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