Donald C. Wunsch II

Orcid: 0000-0002-9726-9051

Affiliations:
  • Missouri University of Science & Technology, USA


According to our database1, Donald C. Wunsch II authored at least 257 papers between 1993 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2005, "For contributions to hardware implementations of reinforcement and unsupervised learning.".

Timeline

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Bibliography

2024
Prescribed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game.
IEEE CAA J. Autom. Sinica, June, 2024

Hamiltonian-Driven Adaptive Dynamic Programming With Efficient Experience Replay.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory.
Inf., March, 2024

Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids.
CoRR, 2024

Return strategies and channel pricing in omni-channel retail considering heterogeneous customer perceptions.
Comput. Ind. Eng., 2024

Meta-iCVI: Ensemble Validity Metrics for Concise Labeling of Correct, Under- or Over-Partitioning in Streaming Clustering.
IEEE Access, 2024

Survey of Hidden Markov Models (HMMs) for Sign Language Recognition (SLR).
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

Prediction of Carbonation Capacity of SCMs Using Ensemble Learning Method.
Proceedings of the 7th IEEE International Conference on Industrial Cyber-Physical Systems, 2024

CR-SAM: Curvature Regularized Sharpness-Aware Minimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Incremental Cluster Validity Index-Guided Online Learning for Performance and Robustness to Presentation Order.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Extended Kalman Filter Based Resilient Formation Tracking Control of Multiple Unmanned Vehicles via Game-Theoretical Reinforcement Learning.
IEEE Trans. Intell. Veh., March, 2023

Topological biclustering ARTMAP for identifying within bicluster relationships.
Neural Networks, March, 2023

The visualization of Orphadata neurology phenotypes.
Frontiers Digit. Health, March, 2023

Black-Box Attack using Adversarial Examples: A New Method of Improving Transferability.
World Sci. Annu. Rev. Artif. Intell., 2023

Exponential Synchronization of Reaction-Diffusion Systems on Networks via Asynchronous Intermittent Control.
IEEE Trans. Signal Inf. Process. over Networks, 2023

GNP Attack: Transferable Adversarial Examples Via Gradient Norm Penalty.
Proceedings of the IEEE International Conference on Image Processing, 2023

Prediction of Blockchain Transaction Fraud Using a Lightweight Generative Adversarial Network.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

2022
ClusterValidityIndices.jl: Batch and Incremental Metrics for Unsupervised Learning.
J. Open Source Softw., November, 2022

AP6YC/ClusterValidityIndices.jl: v0.6.3.
Dataset, November, 2022

AP6YC/ClusterValidityIndices.jl: v0.6.2.
Dataset, November, 2022

AP6YC/AdaptiveResonance.jl: v0.5.0.
Dataset, April, 2022

Memristor-Based HTM Spatial Pooler With On-Device Learning for Pattern Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model.
IEEE Trans. Neural Networks Learn. Syst., 2022

Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors.
IEEE Trans. Cybern., 2022

Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms.
J. Open Source Softw., 2022

Data-Driven Human-Robot Interaction Without Velocity Measurement Using Off-Policy Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022

Subtypes of relapsing-remitting multiple sclerosis identified by network analysis.
Frontiers Digit. Health, 2022

Enhanced neurologic concept recognition using a named entity recognition model based on transformers.
Frontiers Digit. Health, 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.
Artif. Intell. Rev., 2022

No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine.
AI Ethics, 2022

Forecasting Nodal Price Difference Between Day-Ahead and Real-Time Electricity Markets Using Long-Short Term Memory and Sequence-to-Sequence Networks.
IEEE Access, 2022

Learning Deep Representations via Contrastive Learning for Instance Retrieval.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Hamiltonian-Driven Hybrid Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database.
Neural Networks, 2021

Output Constrained Adaptive Controller Design for Nonlinear Saturation Systems.
IEEE CAA J. Autom. Sinica, 2021

Subsumption reduces dataset dimensionality without decreasing performance of a machine learning classifier.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Schizophrenia Classification Using Resting State EEG Functional Connectivity: Source Level Outperforms Sensor Level.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators.
IEEE Trans. Neural Networks Learn. Syst., 2020

Online Model-Free n-Step HDP With Stability Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2020

An Improved N-Step Value Gradient Learning Adaptive Dynamic Programming Algorithm for Online Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Convergence of Recurrent Neuro-Fuzzy Value-Gradient Learning With and Without an Actor.
IEEE Trans. Fuzzy Syst., 2020

Dynamic Intermittent Feedback Design for $H_{\infty}$ Containment Control on a Directed Graph.
IEEE Trans. Cybern., 2020

Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results.
IEEE Trans. Cybern., 2020

Distributed dual vigilance fuzzy adaptive resonance theory learns online, retrieves arbitrarily-shaped clusters, and mitigates order dependence.
Neural Networks, 2020

Memristor-based LSTM network with in situ training and its applications.
Neural Networks, 2020

Evaluation of standard and semantically-augmented distance metrics for neurology patients.
BMC Medical Informatics Decis. Mak., 2020

Online barrier-actor-critic learning for <i>H</i><sub>∞</sub> control with full-state constraints and input saturation.
J. Frankl. Inst., 2020

An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors.
J. Artif. Intell. Soft Comput. Res., 2020

iCVI-ARTMAP: Accelerating and improving clustering using adaptive resonance theory predictive mapping and incremental cluster validity indices.
CoRR, 2020

StarCraft II Build Order Optimization using Deep Reinforcement Learning and Monte-Carlo Tree Search.
CoRR, 2020

Survey of Privacy-Preserving Collaborative Filtering.
CoRR, 2020

An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups.
IEEE Access, 2020

Incremental Cluster Validity Indices for Online Learning of Hard Partitions: Extensions and Comparative Study.
IEEE Access, 2020

Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Cross-Market Price Difference Forecast Using Deep Learning for Electricity Markets.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020

TopoBARTMAP: Biclustering ARTMAP with or without Topological Methods in a Blood Cancer Case Study.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Autonomous Control of a Line Follower Robot Using a Q-Learning Controller.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020

2019
Adaptive Resonance Theory in Social Media Data Clustering - Roles, Methodologies, and Applications
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-030-02984-5, 2019

Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems.
IEEE Trans. Neural Networks Learn. Syst., 2019

The Boundedness Conditions for Model-Free HDP(λ).
IEEE Trans. Neural Networks Learn. Syst., 2019

Model Order Reduction Based on Agglomerative Hierarchical Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2019

Design of a K-Winners-Take-All Model With a Binary Spike Train.
IEEE Trans. Cybern., 2019

Optimal Containment Control of Unknown Heterogeneous Systems With Active Leaders.
IEEE Trans. Control. Syst. Technol., 2019

A survey of adaptive resonance theory neural network models for engineering applications.
Neural Networks, 2019

Dual vigilance fuzzy adaptive resonance theory.
Neural Networks, 2019

Admiring the Great Mountain: A Celebration Special Issue in Honor of Stephen Grossbergs 80th Birthday.
CoRR, 2019

Reproducibility via Crowdsourced Reverse Engineering: A Neural Network Case Study With DeepMind's Alpha Zero.
CoRR, 2019

Heuristic Dynamic Programming for Adaptive Virtual Synchronous Generators.
CoRR, 2019

Neural Network Predictive Controller for Grid-Connected Virtual Synchronous Generator.
CoRR, 2019

Incremental Cluster Validity Indices for Hard Partitions: Extensions and Comparative Study.
CoRR, 2019

Data-Driven Integral Reinforcement Learning for Continuous-Time Non-Zero-Sum Games.
IEEE Access, 2019

Dual Vigilance Hypersphere Adaptive Resonance Theory.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Model-Free Temporal Difference Learning for Non-Zero-Sum Games.
Proceedings of the International Joint Conference on Neural Networks, 2019

Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Safe Intermittent Reinforcement Learning for Nonlinear Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Safety-Aware Reinforcement Learning Framework with an Actor-Critic-Barrier Structure.
Proceedings of the 2019 American Control Conference, 2019

Intelligent Automation in Renewable Energy
Springer, ISBN: 978-3-030-02235-8, 2019

2018
Leader-Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

An Information-Theoretic-Cluster Visualization for Self-Organizing Maps.
IEEE Trans. Neural Networks Learn. Syst., 2018

Hierarchical extreme learning machines.
Neurocomputing, 2018

An adaptive strategy via reinforcement learning for the prisoner U+02BC s dilemma game.
IEEE CAA J. Autom. Sinica, 2018

Containment Control of Heterogeneous Systems With Non-Autonomous Leaders: A Distributed Optimal Model Reference Approach.
IEEE Access, 2018

Off-Policy Integral Reinforcement Learning for Semi-Global Constrained Output Regulation of Continuous-Time Linear Systems.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A study on exploiting VAT to mitigate ordering effects in Fuzzy ART.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Matrix Factorization Based Collaborative Filtering With Resilient Stochastic Gradient Descent.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Model-Free Event-Triggered Containment Control of Multi-Agent Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Hamiltonian-Driven Adaptive Dynamic Programming for Continuous Nonlinear Dynamical Systems.
IEEE Trans. Neural Networks Learn. Syst., 2017

Unsupervised Feature Learning Classification With Radial Basis Function Extreme Learning Machine Using Graphic Processors.
IEEE Trans. Cybern., 2017

Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

Containment control of heterogeneous systems with active leaders of bounded unknown control using reinforcement learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Validity index-based vigilance test in adaptive resonance theory neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Cognitive relevance.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Integrated particle swarm and evolutionary algorithm approaches to the quadratic assignment problem.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

No-Boundary Thinking in Bioinformatics.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Hamiltonian-driven adaptive dynamic programming for nonlinear discrete-time dynamic systems.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Mobile robot control based on hybrid neuro-fuzzy value gradient reinforcement learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2016

An information theoretic ART for robust unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Biclustering ARTMAP collaborative filtering recommender system.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Heuristic dynamic programming for mobile robot path planning based on Dyna approach.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Enhancing supervisory training signals with environmental reinforcement learning using adaptive dynamic programming and artificial neural networks.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.
IEEE Trans. Neural Networks Learn. Syst., 2015

Big data - a 21st century science Maginot Line? No-boundary thinking: shifting from the big data paradigm.
BioData Min., 2015

Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning.
IEEE Access, 2015

Time series prediction via two-step clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Particle Swarm Optimization in an adaptive resonance framework.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Multi-prototype local density-based hierarchical clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Control of Three-Phase Grid-Connected Microgrids using Artificial Neural Networks.
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015

Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions.
IEEE Trans. Neural Networks Learn. Syst., 2014

An adaptive recurrent neural-network controller using a stabilization matrix and predictive inputs to solve a tracking problem under disturbances.
Neural Networks, 2014

A bare-bones ant colony optimization algorithm that performs competitively on the sequential ordering problem.
Memetic Comput., 2014

Fuzzy Adaptive Resonance Theory, Diffusion Maps and their applications to Clustering and Biclustering.
CoRR, 2014

An extended EigenAnt colony system applied to the sequential ordering problem.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

A novel grid load management technique using electric water heaters and Q-learning.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Discovering objective functions for tagging medical text concepts.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013
Search Context Awareness in Several Ant Colony Optimization Models.
Int. J. Comput. Their Appl., 2013

No-boundary thinking in bioinformatics research.
BioData Min., 2013

Vigilance adaptation in adaptive resonance theory.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Nested-loop neural network vector control of permanent magnet synchronous motors.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Unsupervised feature learning classification using an extreme learning machine.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Levenberg-Marquardt and Conjugate Gradient methods applied to a high-order neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Fuzzy c-Means Clustering Based Polarization Assessment in Intelligent Argumentation System for Collaborative Decision Support.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

2012
A Comparison Study of Validity Indices on Swarm-Intelligence-Based Clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Associating Internet Usage with Depressive Behavior Among College Students.
IEEE Technol. Soc. Mag., 2012

Promoting Search Diversity in Ant Colony Optimization with Stubborn Ants.
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Vector control of a grid-connected rectifier/inverter using an artificial neural network.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Modified cellular simultaneous recurrent networks with cellular particle swarm optimization.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Video compressive sensing with 3-D Wavelet and 3-D Noiselet.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Improving the performance of MAX-MIN ant system on the TSP using stubborn ants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
BARTMAP: A viable structure for biclustering.
Neural Networks, 2011

A GPU based Parallel Hierarchical Fuzzy ART clustering.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Backpropagation and ordered derivatives in the time scales calculus.
IEEE Trans. Neural Networks, 2010

Evolutionary swarm neural network game engine for Capture Go.
Neural Networks, 2010

Memetic Mission Management [Application Notes].
IEEE Comput. Intell. Mag., 2010

Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps.
Artif. Intell. Medicine, 2010

Automatic building identification using gps and machine learning.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Clustering with differential evolution particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Neural Networks and Micromechanics.
Springer, ISBN: 978-3-642-02534-1, 2010

2009
MicroRNA expression profile based cancer classification using Default ARTMAP.
Neural Networks, 2009

Coordinated machine learning and decision support for situation awareness.
Neural Networks, 2009

A proposition on memes and meta-memes in computing for higher-order learning.
Memetic Comput., 2009

Robotic Go: Exploring a Different Perspective on Human-Computer Interaction with the Game of Go.
Proceedings of the IEEE International Conference on Systems, 2009

LabRat<sup><sup>TM</sup></sup>: Miniature robot for students, researchers, and hobbyists.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Using default ARTMAP for cancer classification with MicroRNA expression signatures.
Proceedings of the International Joint Conference on Neural Networks, 2009

Analysis of hyperspectral data with diffusion maps and Fuzzy ART.
Proceedings of the International Joint Conference on Neural Networks, 2009

ART properties of interest in engineering applications.
Proceedings of the International Joint Conference on Neural Networks, 2009

Neural networks and Markov models for the iterated prisoner's dilemma.
Proceedings of the International Joint Conference on Neural Networks, 2009

An Agent-Based computational model of a self-organizing project management paradigm for research teams.
Proceedings of the International Joint Conference on Neural Networks, 2009

Reconfigurable disruption tolerant routing via Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Hamilton-Jacobi-Bellman Equations and Approximate Dynamic Programming on Time Scales.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Recent advances in cluster analysis.
Int. J. Intell. Comput. Cybern., 2008

Intelligence in Markets: Asset Pricing, Mechanism Design, and Natural Computation [Technology Review].
IEEE Comput. Intell. Mag., 2008

Decision theory on dynamic domains nabla derivatives and the Hamilton-Jacobi-Bellman equation.
Proceedings of the IEEE International Conference on Systems, 2008

Clustering of cancer tissues using diffusion maps and fuzzy ART with gene expression data.
Proceedings of the International Joint Conference on Neural Networks, 2008

A quantum calculus formulation of dynamic programming and ordered derivatives.
Proceedings of the International Joint Conference on Neural Networks, 2008

Computational intelligence meets the NetFlix prize.
Proceedings of the International Joint Conference on Neural Networks, 2008

Default ARTMAP Neural Networks for Classification of Anthrax Time Series from Inhalation Anthrax Models.
Proceedings of The 2008 International Conference on Data Mining, 2008

Divide and conquer evolutionary TSP solution for vehicle path planning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Computer Go: A Grand Challenge to AI.
Proceedings of the Challenges for Computational Intelligence, 2007

Guest Editorial Special Issue on Neural Networks for Feedback Control Systems.
IEEE Trans. Neural Networks, 2007

Training Winner-Take-All Simultaneous Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2007

Inference of Genetic Regulatory Networks with Recurrent Neural Network Models Using Particle Swarm Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Multiclass Cancer Classification Using Semisupervised Ellipsoid ARTMAP and Particle Swarm Optimization with Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization.
Neural Networks, 2007

Neural network explanation using inversion.
Neural Networks, 2007

Time series prediction with a weighted bidirectional multi-stream extended Kalman filter.
Neurocomputing, 2007

Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm.
Neurocomputing, 2007

Approximate Dynamic Programming and Neural Networks on Game Hardware.
Proceedings of the International Joint Conference on Neural Networks, 2007

Gaussian Versus Cauchy Membership Functions in Fuzzy PSO.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Memetic Algorithm configured via a problem solving environment for the Hamiltonian Cycle problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Survey of Neural Computation on Graphics Processing Hardware.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Neural Network Based Decentralized Controls of Large Scale Power Systems.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Permutation Coding Technique for Image Recognition Systems.
IEEE Trans. Neural Networks, 2006

Speeding up VLSI Layout Verification Using Fuzzy Attributed Graphs Approach.
IEEE Trans. Fuzzy Syst., 2006

Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP).
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Study of Particle Swarm Optimization in Gene Regulatory Networks Inference.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Neural Network based Decentralized Excitation Control of Large Scale Power Systems.
Proceedings of the International Joint Conference on Neural Networks, 2006

Image Recognition Systems Based on Random Local Descriptors.
Proceedings of the International Joint Conference on Neural Networks, 2006

Information Fusion and Situation Awareness using ARTMAP and Partially Observable Markov Decision Processes.
Proceedings of the International Joint Conference on Neural Networks, 2006

Micromechanics as a Testbed for Artificial Intelligence Methods Evaluation.
Proceedings of the Toward Category-Level Object Recognition, 2006

2005
Survey of clustering algorithms.
IEEE Trans. Neural Networks, 2005

Recurrent neural networks with backtrack-points and negative reinforcement applied to cost-based abduction.
Neural Networks, 2005

A Switched-Resistor Approach to Hardware Implementation of Neural Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

An Embedded Real-Time Neuro-Fuzzy Controller for Mobile Robot Navigation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Detection of basal cell carcinoma using electrical impedance and neural networks.
IEEE Trans. Biomed. Eng., 2004

Generalization of Features in the Assembly Neural Networks.
Int. J. Neural Syst., 2004

Algorithms for derivation of structurally stable Hamiltonian signed graphs.
Int. J. Comput. Math., 2004

Decentralized neural network control of a class of large-scale systems with unknown interconnections.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system.
IEEE Trans. Neural Networks, 2003

Query-based learning for aerospace applications.
IEEE Trans. Neural Networks, 2003

Welcome to the special issue: the best of the best.
Neural Networks, 2003

Million city traveling salesman problem solution by divide and conquer clustering with adaptive resonance neural networks.
Neural Networks, 2003

Design of an adaptive neural network based power system stabilizer.
Neural Networks, 2003

Abductive reasoning with recurrent neural networks.
Neural Networks, 2003

Back-propagation of accuracy
CoRR, 2003

Neural network modeling of data with gaps: method of principal curves Carleman's formula, and other
CoRR, 2003

Locating Moving Objects over Mobile Sensor Network.
Proceedings of the First Workshop on Intelligent Solutions in Embedded Systems, 2003

Neural Networks Applied to Electromagnetic Compatibility (EMC) Simulations.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Fuzzy logic in collective robotic search.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

An extended Kalman filter (EKF) approach on fuzzy system optimization problem.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

A fuzzy attributed graph approach to subcircuit extraction problem.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002
Comparison of heuristic dynamic programming and dual heuristic programming adaptive critics for neurocontrol of a turbogenerator.
IEEE Trans. Neural Networks, 2002

Extended Kalman Filter Training of Neural Networks on a SIMD Parallel Machine.
J. Parallel Distributed Comput., 2002

Evolutionary programming to optimize an assembly program.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Dynamic re-optimization of a fed-batch fermentor using adaptive critic designs.
IEEE Trans. Neural Networks, 2001

2000
Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction.
IEEE Trans. Neural Networks Learn. Syst., 2000

Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG.
Neurocomputing, 2000

Phase-based cerebellar learning of dynamic signals.
Neurocomputing, 2000

Fuzzy regression by fuzzy number neural networks.
Fuzzy Sets Syst., 2000

The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form Solution.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

An evolutionary programming methodology for portfolio selection.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1999
A theory of independent fuzzy probability for system reliability.
IEEE Trans. Fuzzy Syst., 1999

Stability Properties of Cerebellar Neural Networks: The {P}urkinje Cell Climbing Fiber Dynamic Module.
Neural Process. Lett., 1999

Phase-based storage of information in the cerebellum.
Neurocomputing, 1999

Fuzzy number neural networks.
Fuzzy Sets Syst., 1999

TD methods applied to mixture of experts for learning 9×9 Go evaluation function.
Proceedings of the International Joint Conference Neural Networks, 1999

Predictive head tracking for virtual reality.
Proceedings of the International Joint Conference Neural Networks, 1999

Efficient training techniques for classification with vast input space.
Proceedings of the International Joint Conference Neural Networks, 1999

Wind turbine power estimation by neural networks with Kalman filter training on a SIMD parallel machine.
Proceedings of the International Joint Conference Neural Networks, 1999

The random subspace coarse coding scheme for real-valued vectors.
Proceedings of the International Joint Conference Neural Networks, 1999

Fed-batch dynamic optimization using generalized dual heuristic programming.
Proceedings of the International Joint Conference Neural Networks, 1999

Inductive sorting-out GMDH algorithms with polynomial complexity for active neurons of neural network.
Proceedings of the International Joint Conference Neural Networks, 1999

Climbing fibre Purkinje cell twins are found.
Proceedings of the International Joint Conference Neural Networks, 1999

Cerebellar learning: a possible phase switch in evolution.
Proceedings of the International Joint Conference Neural Networks, 1999

A fuzzy perspective towards technical analysis-case study of trend prediction using moving averages.
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

1998
Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks.
IEEE Trans. Neural Networks, 1998

Inhibitory connections in the assembly neural network for texture segmentation.
Neural Networks, 1998

Detection of Influence of Brain-Stem Neurons and Intra-Cranial Field Potentials on the Diaphragm Activity.
Proceedings of the 11th IEEE Symposium on Computer-Based Medical Systems (CBMS '98), 1998

1997
Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply].
IEEE Trans. Neural Networks, 1997

Corrections To "Adaptive Critic Designs".
IEEE Trans. Neural Networks, 1997

Adaptive critic designs.
IEEE Trans. Neural Networks, 1997

Adaptive critic design in learning to play game of Go.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

The need for improved reinforcement learning techniques in intelligent agents.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Backpropagation of accuracy.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Neural network for wind power generation with compressing function.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

High order orthogonal tensor networks: information capacity and reliability.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

A training technique for fuzzy number neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
Advanced neural network training methods for low false alarm stock trend prediction.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Adaptive critic designs: A case study for neurocontrol.
Neural Networks, 1995

Conservative thirty calendar day stock prediction using a probabilistic neural network.
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering, 1995

1993
An optoelectronic implementation of the adaptive resonance neural network.
IEEE Trans. Neural Networks, 1993


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