Jacek M. Zurada

According to our database1, Jacek M. Zurada authored at least 208 papers between 1990 and 2020.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 1996, "For contributions to engineering education in the area of neural networks.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
Feature Selection for Neural Networks Using Group Lasso Regularization.
IEEE Trans. Knowl. Data Eng., 2020

A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis.
Inf. Sci., 2020

Editorial.
Intell. Decis. Technol., 2020

Improving Prediction Models for Mass Assessment: A Data Stream Approach.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2019

Redundant feature pruning for accelerated inference in deep neural networks.
Neural Networks, 2019

Batch and data streaming classification models for detecting adverse events and understanding the influencing factors.
Eng. Appl. Artif. Intell., 2019

Diversity Regularized Adversarial Learning.
CoRR, 2019

On Correlation of Features Extracted by Deep Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Diversity Regularized Adversarial Deep Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Data Stream Models for Predicting Adverse Events in a War Theater.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Big Data-driven Value Creation for Organizations.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Introduction to the Minitrack on Business Intelligence and Big Data for Innovative and Sustainable Development of Organizations.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.
IEEE Trans. Neural Networks Learn. Syst., 2018

Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

Unknown Input Method Based Observer Synthesis for a Discrete Time Uncertain T-S Fuzzy System.
IEEE Trans. Fuzzy Syst., 2018

Unknown Input-Based Observer Synthesis for a Polynomial T-S Fuzzy Model System With Uncertainties.
IEEE Trans. Fuzzy Syst., 2018

The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization.
Neural Networks, 2018

Smooth group L1/2 regularization for input layer of feedforward neural networks.
Neurocomputing, 2018

Building Efficient ConvNets using Redundant Feature Pruning.
CoRR, 2018

Modeling the bursting behavior of the Hodgkin-Huxley neurons using genetic algorithm based parameter search.
Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018

2017
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.
IEEE Trans. Evol. Comput., 2017

Nonredundant sparse feature extraction using autoencoders with receptive fields clustering.
Neural Networks, 2017

A Data-Mining Approach to Identification of Risk Factors in Safety Management Systems.
J. Manag. Inf. Syst., 2017

Convergence analyses on sparse feedforward neural networks via group lasso regularization.
Inf. Sci., 2017

Individualized drug dosing using RBF-Galerkin method: Case of anemia management in chronic kidney disease.
Comput. Methods Programs Biomed., 2017

Industry 4.0: A Special Section in IEEE Access.
IEEE Access, 2017

Input Layer Regularization of Multilayer Feedforward Neural Networks.
IEEE Access, 2017

Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Identification of Human Factors in Aviation Incidents Using a Data Stream Approach.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Introduction to Streaming Data Analytics and Applications Minitrack.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2016

Infant Brain Extraction in T1-Weighted MR Images Using BET and Refinement Using LCDG and MGRF Models.
IEEE J. Biomed. Health Informatics, 2016

3-D Lung Segmentation by Incremental Constrained Nonnegative Matrix Factorization.
IEEE Trans. Biomed. Engineering, 2016

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks.
Neural Networks, 2016

Structured Sparse Convolutional Autoencoder.
CoRR, 2016

Clustering of receptive fields in Autoencoders.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Conjugate Gradient-Based Efficient Algorithm for Training Single-Hidden-Layer Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Application of the Givens Rotations in the Neural Network Learning Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

A Bayesian Network Approach to Classifying Bad Debt in Hospitals.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Efficient Learning of Timeseries Shapelets.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

Learning Understandable Neural Networks With Nonnegative Weight Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes.
IEEE Systems Journal, 2015

New stability condition for discrete-time fully coupled neural networks with multivalued neurons.
Neurocomputing, 2015

Individualized model discovery: The case of anemia patients.
Comput. Methods Programs Biomed., 2015

Automatic segmentation of pathological lung using incremental nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

A Neuro-Fuzzy System with Semi-supervised Learning for Bad Debt Recovery in the Healthcare Industry.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

2014
Shape Analysis of the Human Brain: A Brief Survey.
IEEE J. Biomed. Health Informatics, 2014

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks.
Neural Networks, 2014

Analyzing Massive Data Sets: An Adaptive Fuzzy Neural Approach for Prediction, with a Real Estate Illustration.
J. Org. Computing and E. Commerce, 2014

Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty.
Neurocomputing, 2014

Review and performance comparison of SVM- and ELM-based classifiers.
Neurocomputing, 2014

Cross-Layer Design of Joint Beamforming and Random Network Coding in Wireless Multicast Networks.
IEEE Communications Letters, 2014

A new stability condition for discrete time recurrent neural networks with complex-valued linear threshold neurons.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Stability condition for discrete time multi-valued recurrent neural networks in asynchronous update mode.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Lung segmentation based on Nonnegative Matrix Factorization.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Boundedness of Weight Elimination for BP Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Nonnegative Matrix Factorization for Document Clustering: A Survey.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

A Neuro-fuzzy Approach to Bad Debt Recovery in Healthcare.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013
An adaptive neuro-fuzzy inference system for predicting the risks of low back disorders due to manual material lifting jobs.
Expert Syst. Appl., 2013

A Fuzzy Neural Approach to Classifying Low Back Disorders Risks.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Nonnegative Matrix Factorization and Its Application to Pattern Analysis and Text Mining.
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013

2012
A Competitive Layer Model for Cellular Neural Networks.
Neural Networks, 2012

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty.
Neural Networks, 2012

Classifying the risk of work related low back disorders due to manual material handling tasks.
Expert Syst. Appl., 2012

Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Occluded Face Recognition Using Correntropy-Based Nonnegative Matrix Factorization.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Obtaining Full Regularization Paths for Robust Sparse Coding with Applications to Face Recognition.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Correntropy-Based Document Clustering via Nonnegative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Predicting the Risk of Low Back Disorders due to Manual Handling Tasks.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

2011
Extracting Rules From Neural Networks as Decision Diagrams.
IEEE Trans. Neural Networks, 2011

Guest Editorial White Box Nonlinear Prediction Models.
IEEE Trans. Neural Networks, 2011

Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Knowledge Discovery Through Experiential Learning From Business and Other Contemporary Data Sources: A Review and Reappraisal.
IS Management, 2011

Deterministic convergence of conjugate gradient method for feedforward neural networks.
Neurocomputing, 2011

Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

Weak Convergence of the Recursive Parzen-Type Probabilistic Neural Network in a Non-stationary Environment.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise.
Proceedings of the Parallel Processing and Applied Mathematics, 2011

Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Top-Down Induction of Reduced Ordered Decision Diagrams from Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Comparisons of the Performance of Computational Intelligence Methods for Loan Granting Decisions.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

2010
Identification of Full and Partial Class Relevant Genes.
IEEE/ACM Trans. Comput. Biology Bioinform., 2010

Competitive Layer Model of Discrete-Time Recurrent Neural Networks with LT Neurons.
Neural Computation, 2010

Guest EditorialIntelligent systems.
Int. J. General Systems, 2010

Evolutionary approach to ICA-R.
Proceedings of the International Joint Conference on Neural Networks, 2010

Estimating Soil Parameters Using the Kernel Function.
Proceedings of the Computational Science and Its Applications, 2010

Performance Assessment of Data Mining Methods for Loan Granting Decisions: A Preliminary Study.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Intelligent E-Learning Systems for Evaluation of User's Knowledge and Skills with Efficient Information Processing.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?.
Proceedings of the 43rd Hawaii International International Conference on Systems Science (HICSS-43 2010), 2010

2009
Normalized Mutual Information Feature Selection.
IEEE Trans. Neural Networks, 2009

Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons.
IEEE Trans. on Circuits and Systems, 2009

A class of discrete time recurrent neural networks with multivalued neurons.
Neurocomputing, 2009

Building virtual community in computational intelligence and machine learning [Research Frontier].
IEEE Comput. Intell. Mag., 2009

A comparative study of database reduction methods for case-based computer-aided detection systems: preliminary results.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

Evolutionary Optimization of Number of Gates in PLA Circuits Implemented in VLSI Circuits.
Proceedings of the Applications of Evolutionary Computing, 2009

2008
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons.
IEEE Trans. Neural Networks, 2008

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.
Neural Networks, 2008

Sentence recognition using artificial neural networks.
Knowl. Based Syst., 2008

Experience-Consistent Modeling for Radial Basis Function Neural Networks.
Int. J. Neural Syst., 2008

Database decomposition of a knowledge-based CAD system in mammography: an ensemble approach to improve detection.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Reliability Assessment of Ensemble Classifiers: Application in Mammography.
Proceedings of the Digital Mammography, 2008

Case-Specific Reliability Assessment for Improved False Positive Reduction with an Information-Theoretic CAD System.
Proceedings of the Digital Mammography, 2008

Computational intelligence virtual community: Framework and implementation issues.
Proceedings of the International Joint Conference on Neural Networks, 2008

HieNet architecture using the K-Iterations Fast Learning artificial Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Extracting decision rules in prediction of protein secondary structure.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Estimation of the Dynamic Spinal Forces Using a Recurrent Fuzzy Neural Network.
IEEE Trans. Syst. Man Cybern. Part B, 2007

The Hierarchical Fast Learning Artificial Neural Network (HieFLANN) - An Autonomous Platform for Hierarchical Neural Network Construction.
IEEE Trans. Neural Networks, 2007

A Class of Single-Class Minimax Probability Machines for Novelty Detection.
IEEE Trans. Neural Networks, 2007

Identification of Key Variables Using Fuzzy Average With Fuzzy Cluster Distribution.
IEEE Trans. Fuzzy Syst., 2007

Cellular Neural Networks With Transient Chaos.
IEEE Trans. on Circuits and Systems, 2007

Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities.
Neurocomputing, 2007

Solving Multi-agent Control Problems Using Particle Swarm Optimization.
Proceedings of the 2007 IEEE Swarm Intelligence Symposium, 2007

Particle swarm optimization of neural network CAD systems with clinically relevant objectives.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse.
Proceedings of the Advances in Neural Networks, 2007

Impact of Low Class Prevalence on the Performance Evaluation of Neural Network Based Classifiers: Experimental Study in the Context of Computer-Assisted Medical Diagnosis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Adaptive Prediction of Patient Response to Erythropoietin using Neural Network Ensemble.
Proceedings of the International Joint Conference on Neural Networks, 2007

Window Merge Neural Gas for Processing Pattern Sequences.
Proceedings of the International Joint Conference on Neural Networks, 2007

Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons.
Proceedings of the Advances in Intelligent and Distributed Computing, 2007

Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN).
Proceedings of the Artificial Neural Networks, 2007

Solving decentralized multi-agent control problems with genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Generalized Core Vector Machines.
IEEE Trans. Neural Networks, 2006

RBF-based neurodynamic nearest neighbor classification in real pattern space.
Pattern Recognit., 2006

Confidence-based stratification of CAD recommendations with application to breast cancer detection.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Convergence Analysis of Continuous-Time Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Identification of Low Back Injury from EMG Signals using a Neural Network Model.
Proceedings of the International Joint Conference on Neural Networks, 2006

Chaotic Cellular Neural Networks with Negative Self-feedback.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
An energy function-based design method for discrete hopfield associative memory with attractive fixed points.
IEEE Trans. Neural Networks, 2005

Individualization of pharmacological anemia management using reinforcement learning.
Neural Networks, 2005

A novel technique for assessing the case-specific reliability of decisions made by CAD tools.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

A Hybrid Neuro-fuzzy Approach for Spinal Force Evaluation in Manual Materials Handling Tasks.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Incorporating prior knowledge into Q-learning for drug delivery individualization.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2004
Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou.
IEEE Trans. Neural Networks, 2004

Signal Processing with temporal sequences in olfactory systems.
IEEE Trans. Neural Networks, 2004

An Approach to Multimodal Biomedical Image Registration Utilizing Particle Swarm Optimization.
IEEE Trans. Evol. Comput., 2004

Computational intelligence methods for rule-based data understanding.
Proceedings of the IEEE, 2004

Bifurcating neuron: computation and learning.
Neural Networks, 2004

An information-theoretic approach to estimating ultrasound backscatter characteristics.
Comp. in Bio. and Med., 2004

Topography-Enhanced BMU Search in Self-Organizing Maps.
Proceedings of the Advances in Neural Networks, 2004

Prediction of dynamic forces on lumbar joint using a recurrent neural network model.
Proceedings of the 2004 International Conference on Machine Learning and Applications, 2004

Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Blind Signal Separation and Extraction: Recent Trends, Future Perspectives, and Applications.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Hybridization of Blind Source Separation and Rough Sets for Proteomic Biomarker Indentification.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
A new design method for the complex-valued multistate Hopfield associative memory.
IEEE Trans. Neural Networks, 2003

Data-driven linguistic modeling using relational fuzzy rules.
IEEE Trans. Fuzzy Syst., 2003

Pharmacodynamic population analysis in chronic renal failure using artificial neural networks - a comparative study.
Neural Networks, 2003

Systolic Architectures for Soft Computing Algorithms.
Proceedings of the Parallel Processing and Applied Mathematics, 2003

Time Series Prediction using Rough Sets and Neural Networks Hybrid Approach.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Scoring-Based Analysis of Protein Patterns for Identification of Myeloma Cancer.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

2002
Editorial - year 2002: submission options streamlined.
IEEE Trans. Neural Networks, 2002

Extraction of rules from artificial neural networks for nonlinear regression.
IEEE Trans. Neural Networks, 2002

Estimation of K distribution parameters using neural networks.
IEEE Trans. Biomed. Engineering, 2002

Invariant Recognition of Spatio Temporal Patterns in The Olfactory System Model.
Neural Processing Letters, 2002

Temporal-to-spatial dynamic mapping, flexible recognition, and temporal correlations in an olfactory cortex model.
Biological Cybernetics, 2002

Sparse Correlation Kernel Analysis and Evolutionary Algorithm-Based Modeling of the Sensory Activity within the Rat's Barrel Cortex.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Evolutionary Algorithms and Rough Sets-Based Hybrid Approach to Classificatory Decomposition of Cortical Evoked Potentials.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Future Challenges in Soft Computing: Theory? Computational Paradigms? Applications?
Proceedings of the FSDK'02, 2002

Data Mining Techniques in Predicting Default Rates on Customer Loans.
Proceedings of the Baltic Conference, 2002

2001
Nonlinear blind source separation using a radial basis function network.
IEEE Trans. Neural Networks, 2001

Bi-directional computing architecture for time series prediction.
Neural Networks, 2001

Input Selection in Data-Driven Fuzzy Modelling.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Data-driven Design of Fuzzy System With Rational Input Partition.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
Blind extraction of singularly mixed source signals.
IEEE Trans. Neural Networks Learn. Syst., 2000

A two-stage algorithm for improved topography preservation in self-organizing maps.
Proceedings of the IEEE International Conference on Systems, 2000

Neural Networks: Binary Monotonic and Multiple-Valued.
Proceedings of the 30th IEEE International Symposium on Multiple-Valued Logic, 2000

Time Series Prediction by a Neural Network Model Based on the Bi-Directional Computation Style.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Fuzzy Neural Network with Relational Fuzzy Rules.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Classification and Estimation of Ultrasound Speckle Noise with Neural Networks.
Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering, 2000

1999
Hamiltonian vector field for the Lorenz invariant set.
Proceedings of the International Joint Conference Neural Networks, 1999

Therapeutic drug dosing prediction using adaptive models and artificial neural networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Application of self-organizing network and MLP for fuzzy rule extraction.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
A dynamical system perspective of structural learning with forgetting.
IEEE Trans. Neural Networks, 1998

Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications.
IEEE Trans. Neural Networks, 1998

A Neural Network Controller for Optimal Temperature Control of Household Refrigerators.
Intelligent Automation & Soft Computing, 1998

From Chaos to Organization: Neurodynamics of 2D Active Medium.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Perturbation method for deleting redundant inputs of perceptron networks.
Neurocomputing, 1997

Yield improvement for GaAs IC manufacturing using neural network inverse modeling.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Dynamics of structural learning with an adaptive forgetting rate.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Inverse mapping of continuous functions using feedforward neural networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Sequential network construction for time series prediction.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

A Flexible Computer System for Ergonomic Diagnosis.
Proceedings of the Design of Computing Systems: Cognitive Considerations, 1997

1996
Complex-valued multistate neural associative memory.
IEEE Trans. Neural Networks, 1996

Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images.
IEEE Trans. Med. Imaging, 1996

Automated tuning of an electronic circuit board using the artificial neural network approach.
J. Intelligent Manufacturing, 1996

Intelligent Neural Network Based Decision Unit for Robot Safety.
J. Intell. Fuzzy Syst., 1996

Generalized Hopfield networks for associative memories with multi-valued stable states.
Neurocomputing, 1996

Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Reduction of neural network models for identification and control of nonlinear systems.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

1995
Applications of fuzzy-based linguistic patterns for the assessment of computer screen design quality.
Int. J. Hum. Comput. Interaction, 1995

Determining the Significance of Input Parameters using Sensitivity Analysis.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Automatic Scaling using Gamma Learning for Feedforward Neural Networks.
Proceedings of the From Natural to Artificial Neural Computation, 1995

Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Multivalued Neural Associative Memory.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Feedforward Neural Networks for Estimating IC Parametric Yield and Device Characterization.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Inverse control of nonlinear systems using neural network observer and inverse mapping approach.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995

1994
Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Minimal Training Set Size Estimation for Neural Network-Based Function Approximation.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Current-Mode Network Transformations.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1993
Modified Hebbian learning rule for single layer learning.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

Lambda learning rule for feedforward neural networks.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1990
Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks.
IEEE Trans. Neural Networks, 1990


  Loading...