2024
SSE4Rec: Sequential recommendation with subsequence extraction.
Knowl. Based Syst., 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures.
CoRR, 2024
2023
Authors' Reply to the Comments by Kamata et al.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., November, 2023
Generating High Coherence Monophonic Music Using Monte-Carlo Tree Search.
IEEE Trans. Multim., 2023
Cross-Border Data Security from the Perspective of Risk Assessment.
Proceedings of the Information Security Practice and Experience, 2023
Multimodal Software Defect Severity Prediction Based on Sentiment Probability.
Proceedings of the Information Security Practice and Experience, 2023
2022
EEG decoding method based on multi-feature information fusion for spinal cord injury.
,
,
,
,
,
,
,
,
,
,
Neural Networks, 2022
Improved prior selection using semantics in maximum a posteriori for few-shot learning.
Knowl. Based Syst., 2022
Redefining prior feature space via finetuning a triplet network for few-shot learning.
IET Comput. Vis., 2022
HSD: A hierarchical singing annotation dataset.
Proceedings of the IEEE International Symposium on Multimedia, 2022
Hierarchical Attention Network for Interpretable and Fine-Grained Vulnerability Detection.
Proceedings of the IEEE INFOCOM 2022, 2022
Improving Sequential Recommendation via Subsequence Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2022
Learning a Latent Space with Triplet Network for Few-Shot Image Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Vulnerability Dataset Construction Methods Applied To Vulnerability Detection: A Survey.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022
2021
Feature hallucination via Maximum A Posteriori for few-shot learning.
Knowl. Based Syst., 2021
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy.
CoRR, 2021
Establishing A Hybrid Pieceswise Linear Model for Air Quality Prediction Based Missingness Challenges.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Deep Transfer Learning Based PPI Prediction for Protein Complex Detection.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell using Contrastive Learning Strategy.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
Attentive Relation Network for Object based Video Games.
Proceedings of the International Joint Conference on Neural Networks, 2021
SGE NET: Video Object Detection with Squeezed GRU and Information Entropy Map.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Research on Security Assessment of Cross Border Data Flow.
Proceedings of the Frontiers in Cyber Security - 4th International Conference, 2021
Detecting Inconsistent Vulnerable Software Version in Security Vulnerability Reports.
Proceedings of the Frontiers in Cyber Security - 4th International Conference, 2021
A Review of Data Representation Methods for Vulnerability Mining Using Deep Learning.
Proceedings of the Frontiers in Cyber Security - 4th International Conference, 2021
2020
Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm.
Future Gener. Comput. Syst., 2020
Similitude Attentive Relation Network for Click-Through Rate Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
SAN: Sampling Adversarial Networks for Zero-Shot Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Improving Image Captioning Evaluation by Considering Inter References Variance.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems.
IEEE Access, 2019
A Semi-supervised Classification Using Gated Linear Model.
Proceedings of the International Joint Conference on Neural Networks, 2019
Expert Control System based Hierarchical Control Strategy for Tunnel Microwave Rice Drying.
Proceedings of the 17th European Control Conference, 2019
Air Quality Forecasting Using SVR with Quasi-Linear Kernel.
Proceedings of the 2019 International Conference on Computer, 2019
A Deep Neural Network Based Hierarchical Multi-Label Classifier for Protein Function Prediction.
Proceedings of the 2019 International Conference on Computer, 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.
Complex., 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 Trans. Fundam. Electron. Commun. Comput. Sci., 2016
A Deep Neural Network Based Quasi-Linear Kernel for Support Vector Machines.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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 Trans. Fundam. Electron. Commun. Comput. Sci., 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 Trans. Fundam. Electron. Commun. Comput. Sci., 2014
Modified fuzzy adaptive controller applied to nonlinear systems modeled under quasi-ARX neural network.
Artif. Life Robotics, 2014
An improved adaptive switching control based on quasi-ARX neural network for nonlinear systems.
Artif. Life Robotics, 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.
J. Digit. Inf. Manag., 2013
Development of Stock Evaluation System based on Quasi-Linear Regression Model.
Int. J. Electron. Bus. Manag., 2013
A Modified Pulse Coupled Neural Network with Anisotropic Synaptic Weight Matrix for Image Edge Detection.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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 Trans. Fundam. Electron. Commun. Comput. Sci., 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. Biol. Bioinform., 2011
An efficient identification scheme for a nonlinear polynomial NARX model.
Artif. Life Robotics, 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.
J. Adv. Comput. Intell. Intell. Informatics, 2010
An improved multi-label classification method and its application to functional genomics.
Int. J. Comput. Biol. Drug Des., 2010
An Adaptive Niching EDA with Balance Searching Based on Clustering Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 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.
J. Adv. Comput. Intell. Intell. Informatics, 2009
Network Administrator Assistance System Based on Fuzzy C-means Analysis.
J. Adv. Comput. Intell. Intell. Informatics, 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. Syst. Man Cybern. Part C, 2008
A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology.
J. Adv. Comput. Intell. Intell. Informatics, 2008
A Global Optimization Method RasID-GA for Neural Network Training.
J. Adv. Comput. Intell. Intell. Informatics, 2008
Support Vector Machine Classifier with WHM Offset for Unbalanced Data.
J. Adv. Comput. Intell. Intell. Informatics, 2008
Poisson approach to clustering analysis of regulatory sequences.
Int. J. Comput. Biol. Drug Des., 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.
J. Adv. Comput. Intell. Intell. Informatics, 2007
Adaptation and Self-Adaptation Mechanisms in Genetic Network Programming for Mining Association Rules.
J. Adv. Comput. Intell. Intell. Informatics, 2007
Optimization Method RasID-GA for Numerical Constrained Optimization Problems.
J. Adv. Comput. Intell. Intell. Informatics, 2007
Genetic Network Programming with Actor-Critic.
J. Adv. Comput. Intell. Intell. Informatics, 2007
A Graph-Based Evolutionary Algorithm: Genetic Network Programming (GNP) and Its Extension Using Reinforcement Learning.
Evol. Comput., 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. Syst. Man Cybern. 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.
J. Adv. Comput. Intell. Intell. Informatics, 2006
Alternate Genetic Network Programming with Association Rules Acquisition Mechanisms Between Attribute Families.
J. Adv. Comput. Intell. Intell. Informatics, 2006
Genetic Network Programming with Acquisition Mechanisms of Association Rules.
J. Adv. Comput. Intell. Intell. Informatics, 2006
Realizing Functional Localization Using Genetic Network Programming with Importance Index.
J. Adv. Comput. Intell. Intell. Informatics, 2006
Elevator Group Supervisory Control System Using Genetic Network Programming with Functional Localization.
J. Adv. Comput. Intell. Intell. Informatics, 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.
J. Adv. Comput. Intell. Intell. Informatics, 2005
Multi-branch Neural Networks and Its Application to Stock Price Prediction.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005
Application of multi-branch neural networks to stock market prediction.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
Performance optimization of function localization neural network by using reinforcement learning.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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
Multi-branch structure and its localized property in layered neural networks.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
Self-organized function localization neural network.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
Stability analysis of a DC motor system using universal learning networks.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
Neural networks with branch gates.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
Robust feedback error learning method for controller design of nonlinear systems.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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 11th European Symposium on Artificial Neural Networks, 2003
Genetic network programming with learning and evolution for adapting to dynamical environments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Symbiotic evolutional models in multiagent systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 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
Online learning of genetic network programming (GNP).
Proceedings of the 2002 Congress on Evolutionary Computation, 2002
2001
A new control method of nonlinear systems based on impulse responses of universal learning networks.
IEEE Trans. Syst. Man Cybern. 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.
Autom., 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
Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP).
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
Chaos control on universal learning networks.
IEEE Trans. Syst. Man Cybern. Part C, 2000
Universal learning network and its application to robust control.
IEEE Trans. Syst. Man Cybern. 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
Genetic symbiosis algorithm.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
1999
Probabilistic Learning-Network-Based Robust Control Scheme for Nonlinear Systems.
J. Adv. Comput. Intell. Intell. Informatics, 1999
Neurofuzzy Approach to Fault Detection of Nonlinear Systems.
J. Adv. Comput. Intell. Intell. Informatics, 1999
LimNet-Flexible Learning Network Containing Linear Properties.
J. Adv. Comput. Intell. Intell. Informatics, 1999
Control of Decentralized Systems Based on Nash Equilibrium Concept of Game Theory.
J. Adv. Comput. Intell. Intell. Informatics, 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
Adaptive predictor for control of nonlinear systems based on neurofuzzy models.
Proceedings of the 5th European Control Conference, 1999
1998
Learning Petri network and its application to nonlinear system control.
IEEE Trans. Syst. Man Cybern. Part B, 1998
Chaos Universal Learning Network Clustering Control.
J. Robotics Mechatronics, 1998
RasID - Random Search for Neural Network Training.
J. Adv. Comput. Intell. Intell. Informatics, 1998
Computing Higher Order Derivatives in Universal Learning Networks.
J. Adv. Comput. Intell. Intell. Informatics, 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