Jinglu Hu

According to our database1, Jinglu Hu authored at least 185 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying.
Proceedings of the 18th European Control Conference, 2019

2018
Acceleration of a CUDA-Based Hybrid Genetic Algorithm and its Application to a Flexible Flow Shop Scheduling Problem.
Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018

Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Metric Learning Method for Improving Neural Network Based Kernel Learning for SVM.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

One-Class Classification Using Quasi-Linear Support Vector Machine.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Convolutional Auto-Encoder Method for Anomaly Detection on System Logs.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Relation Classification Using Coarse and Fine-Grained Networks with SDP Supervised Key Words Selection.
Proceedings of the Knowledge Science, Engineering and Management, 2018

Quasi-Linear Recurrent Neural Network based Identification and Predictive Control.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Segmented Local Offset Method for Imbalanced Data Classification Using Quasi-Linear Support Vector Machine.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme.
Complexity, 2017

Distance metric learning with eigenvalue fine tuning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Large-scale image classification using fast SVM with deep quasi-linear kernel.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Non-local information for a mixture of multiple linear classifiers.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A multilayer gated bilinear classifier: From optimizing a deep rectified network to a support vector machine.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A mixture of multiple linear classifiers with sample weight and manifold regularization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Surface Reconstruction of Renal Corpuscle from Microscope Renal Biopsy Image Sequence.
IEICE Transactions, 2016

A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines.
IEICE Transactions, 2016

A kernel level composition of multiple local classifiers for nonlinear classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A deep quasi-linear kernel composition method for support vector machines.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Lyapunov based switching control to track maximum power point of WECS.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Enhancing multi-label classification based on local label constraints and classifier chains.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A novel registration method based on coevolutionary strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Context-Based Segmentation of Renal Corpuscle from Microscope Renal Biopsy Image Sequence.
IEICE Transactions, 2015

A Transductive SVM with quasi-linear kernel based on cluster assumption for semi-supervised classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Geometric approach of quasi-linear kernel composition for support vector machine.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improving SVM based multi-label classification by using label relationship.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A hierarchical SVM based multiclass classification by using similarity clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Quasi-Linear Support Vector Machine for Nonlinear Classification.
IEICE Transactions, 2014

A Transductive Support Vector Machine with adjustable quasi-linear kernel for semi-supervised data classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Support vector machine with SOM-based quasi-linear kernel for nonlinear classification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fast Support Vector Data Description training using edge detection on large datasets.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A half-split grid clustering algorithm by simulating cell division.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An SMO Approach to Fast SVM for Classification of Large Scale Data.
Proceedings of the 2014 International Conference on IT Convergence and Security, 2014

An adaptive predictive control based on a quasi-ARX neural network model.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

A fast sequence assembly method based on compressed data structures.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

A niching two-layered differential evolution with self-adaptive control parameters.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Differential Evolution for Rule Extraction and Its application in Recognizing Oil Reservoir.
JDIM, 2013

Development of Stock Evaluation System based on Quasi-Linear Regression Model.
IJEBM, 2013

A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection.
IEICE Transactions, 2013

A quasi-linear SVM combined with assembled SMOTE for imbalanced data classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An SVM-based approach for stock market trend prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Deep searching for parameter estimation of the linear time invariant (LTI) system by using Quasi-ARX neural network.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Improving multi-label classification performance by label constraints.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Identification of Quasi-ARX Neurofuzzy Model with an SVR and GA Approach.
IEICE Transactions, 2012

Computing of the contribution rate of scientific and technological progress to economic growth in Chinese regions.
Expert Syst. Appl., 2012

Comparative study on economic contribution rate of education of China and foreign countries based on soft computing method.
Appl. Soft Comput., 2012

Lyapunov learning algorithm for Quasi-ARX neural network to identification of nonlinear dynamical system.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Local linear discriminant analysis with composite kernel for face recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Nonlinear system identification based on SVR with quasi-linear kernel.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Composite kernel based SVM for hierarchical multi-label gene function classification.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Automated Web Data Mining Using Semantic Analysis.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Accurate Reconstruction for DNA Sequencing by Hybridization Based on a Constructive Heuristic.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Identification of Quasi-ARX neurofuzzy model by using SVR-based approach with input selection.
Proceedings of the IEEE International Conference on Systems, 2011

A Quasi-linear Approach for Microarray Missing Value Imputation.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Color Quantization Based on Hierarchical Frequency Sensitive Competitive Learning.
JACIII, 2010

An improved multi-label classification method and its application to functional genomics.
I. J. Computational Biology and Drug Design, 2010

An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis.
IEICE Transactions, 2010

Combining binary-SVM and pairwise label constraints for multi-label classification.
Proceedings of the IEEE International Conference on Systems, 2010

An adaptive switching median filter with anisotropic linking PCNN noise detection for salt and pepper noise reduction.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Local linear multi-SVM method for gene function classification.
Proceedings of the Second World Congress on Nature & Biologically Inspired Computing, 2010

Image edge detection method based on a simplified PCNN model with anisotropic linking mechanism.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Hierarchical Multi-label Classification incorporating prior information for gene function prediction.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Nonlinear adaptive control using a fuzzy switching mechanism based on improved quasi-ARX neural network.
Proceedings of the International Joint Conference on Neural Networks, 2010

A novel frequency band selection method for Common Spatial Pattern in Motor Imagery based Brain Computer Interface.
Proceedings of the International Joint Conference on Neural Networks, 2010

An improved multi-label classification based on label ranking and delicate boundary SVM.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Hierarchical Clustering Method for Color Quantization.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Glomeruli extraction by canny operator with a feedback strategy.
Proceedings of the Second International Conference on Digital Image Processing, 2010

An adaptive niching EDA based on clustering analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

eSBH: An Accurate Constructive Heuristic Algorithm for DNA Sequencing by Hybridization.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Human Resource Selection Based on Performance Classification Using Weighted Support Vector Machine.
JACIII, 2009

Network Administrator Assistance System Based on Fuzzy C-means Analysis.
JACIII, 2009

Enhancing the generalization ability of neural networks through controlling the hidden layers.
Appl. Soft Comput., 2009

Study of multi-branch structure of Universal Learning Networks.
Appl. Soft Comput., 2009

A Dynamic Pattern Recognition Approach based on Neural Network for Stock Time-series.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Feature Selection for Human Resource Selection based on Affinity Propagation and SVM Sensitivity Analysis.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Adaptive Control for Nonlinear Systems based on quasi-ARX Neural Network.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

A Two-step Method for Nonlinear Polynomial Model Identification based on Evolutionary Optimization.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

A Novel Clustering based Niching EDA for Protein Folding.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

An automatic segmentation technique for color images based on SOFM neural network.
Proceedings of the International Joint Conference on Neural Networks, 2009

A fast SVM training method for very large datasets.
Proceedings of the International Joint Conference on Neural Networks, 2009

Glomerulus extraction by using genetic algorithm for edge patching.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A novel EDAs based method for HP model protein folding.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2008

A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology.
JACIII, 2008

A Global Optimization Method RasID-GA for Neural Network Training.
JACIII, 2008

Support Vector Machine Classifier with WHM Offset for Unbalanced Data.
JACIII, 2008

Poisson approach to clustering analysis of regulatory sequences.
I. J. Computational Biology and Drug Design, 2008

Curvilinear thresholding method for noisy images based on 2D histogram.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008

Financial time series prediction using a support vector regression network.
Proceedings of the International Joint Conference on Neural Networks, 2008

Multiple Sequence Alignment Based on Genetic Algorithms with Reserve Selection.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

An Improved Discrete Particle Swarm Optimization Based on Cooperative Swarms.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2008

Nuclei Extraction Based on Multi-channel Information.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Image Segmentation Based on 2D Otsu Method with Histogram Analysis.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Distributed multi-relational data mining based on genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Solving deceptive problems using a genetic algorithm with reserve selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Double-Deck Elevator Group Supervisory Control System Using Genetic Network Programming with Ant Colony Optimization with Evaporation.
JACIII, 2007

Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules.
JACIII, 2007

Optimization Method RasID-GA for Numerical Constrained Optimization Problems.
JACIII, 2007

Genetic Network Programming with Actor-Critic.
JACIII, 2007

A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning.
Evolutionary Computation, 2007

An approximate stability analysis of nonlinear systems described by Universal Learning Networks.
Appl. Soft Comput., 2007

A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning.
Proceedings of the Advances in Neural Networks, 2007

Effects of passenger's arrival distribution to double-deck elevator group supervisory control systems using genetic network programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Association rule mining for continuous attributes using genetic network programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Genetic network programming with actor-critic and its application to stock trading model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Genetic network programming with parallel processing for association rule mining in large and dense databases.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Trading rules on stock markets using genetic network programming with sarsa learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

GARS: an improved genetic algorithm with reserve selection for global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Double-deck elevator systems using Genetic Network Programming with reinforcement learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Mining association rules from databases with continuous attributes using genetic network programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Training of Multi-Branch Neural Networks using RasID-GA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Stock trading rules using genetic network programming with actor-critic.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Class association rule mining for large and dense databases with parallel processing of genetic network programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Genetic network programming with sarsa learning and its application to creating stock trading rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Performance tuning of genetic algorithms with reserve selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Cluster Analysis of Regulatory Sequences with a Log Likelihood Ratio Statistics-based Similarity Measure.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
A study of evolutionary multiagent models based on symbiosis.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2006

Propagation and control of stochastic signals through universal learning networks.
Neural Networks, 2006

Adaptive Random Search with Intensification and Diversification Combined with Genetic Algorithm.
JACIII, 2006

Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms Between Attribute Families.
JACIII, 2006

Genetic Network Programming with Acquisition Mechanisms of Association Rules.
JACIII, 2006

Realizing Functional Localization Using Genetic Network Programming with Importance Index.
JACIII, 2006

Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization.
JACIII, 2006

Class Association Rule Mining with Chi-Squared Test Using Genetic Network Programming.
Proceedings of the IEEE International Conference on Systems, 2006

Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming.
Proceedings of the Advances in Data Mining, 2006

Effective Training Methods for Function Localization Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

A study of applying Genetic Network Programming with Reinforcement Learning to Elevator Group Supervisory Control System.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

RasID-GA with Simplex Crossover(SPX) for Optimization problems.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Genetic Network Programming with Reinforcement Learning Using Sarsa Algorithm.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

An Extension of Genetic Network Programming with Reinforcement Learning Using Actor-Critic.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Genetic Network Programming for Automatic Program Generation.
JACIII, 2005

Multi-branch Neural Networks and Its Application to Stock Price Prediction.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Switching for functional localization of genetic network programming.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Genetic Network Programming with Acquisition Mechanisms of Association Rules in Dense Database.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Elevator group supervisory control system using genetic network programming with reinforcement learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Adaptive random search with intensification and diversification combined with genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Elevator group supervisory control system using genetic network programming with functional localization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation.
Proceedings of the Genetic and Evolutionary Computation, 2004

Genetic network programming with automatically generated variable size macro nodes.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Functional localization of genetic network programming and its application to a pursuit problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Elevator group supervisory control systems using genetic network programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
A functions localized neural network with branch gates.
Neural Networks, 2003

Multi-branch neural networks with Branch Control.
Proceedings of the IEEE International Conference on Systems, 2003

Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks.
Proceedings of the ESANN 2003, 2003

Genetic network programming with learning and evolution for adapting to dynamical environments.
Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2003, 8, 2003

2002
The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

Increasing Robustness Of Genetic Algorithm.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

A New Model To Realize Variable Size Genetic Network Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming.
Proceedings of the Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), 2002

2001
A new control method of nonlinear systems based on impulse responses of universal learning networks.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

Improvement of generalization ability for identifying dynamical systems by using universal learning networks.
Neural Networks, 2001

A homotopy approach to improving PEM identification of ARMAX models.
Automatica, 2001

Comparative study between functions distributed network and ordinary neural network.
Proceedings of the IEEE International Conference on Systems, 2001

A Hierarchical Method for Training Embedded Sigmoidal Neural Networks.
Proceedings of the Artificial Neural Networks, 2001

2000
Chaos control on universal learning networks.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2000

Universal learning network and its application to robust control.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2000

Universal learning network and its application to chaos control.
Neural Networks, 2000

Nonlinear model predictive control utilizing a neuro-fuzzy predictor.
Proceedings of the IEEE International Conference on Systems, 2000

Self-organization in probabilistic neural networks.
Proceedings of the IEEE International Conference on Systems, 2000

Genetic network programming - application to intelligent agents.
Proceedings of the IEEE International Conference on Systems, 2000

A New Method to Prune the Neural Network.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Overlapped Multi-Neural-Network: A Case Study.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Universal Learning Networks with Branch Control.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Min Max Control of Nonlinear Systems Using Universal Learning Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems.
JACIII, 1999

Neurofuzzy Approach to Fault Detection of Nonlinear Systems.
JACIII, 1999

LimNet-Flexible Learning Network Containing Linear Properties.
JACIII, 1999

Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory.
JACIII, 1999

Object oriented learning network and its applications.
Proceedings of the International Joint Conference Neural Networks, 1999

Identification of nonlinear dynamic systems by using probabilistic universal learning networks.
Proceedings of the International Joint Conference Neural Networks, 1999

Universal learning networks with varying parameters.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Learning Petri network and its application to nonlinear system control.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1998

Chaos Universal Learning Network Clustering Control.
JRM, 1998

RasID - Random Search for Neural Network Training.
JACIII, 1998

Computing Higher Order Derivatives in Universal Learning Networks.
JACIII, 1998

A new modeling method for symbiosis phenomena.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Chaos control using maximum Lyapunov number of universal learning network.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A new nonlinear system control method using second order derivatives of universal learning network.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Generalization ability of universal learning network by using second order derivatives.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

1997
Generalization Ability of Universal Learning Network by Optimizing Network Size and Time Delay.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997


  Loading...