Min Han

Orcid: 0000-0002-2964-4884

Affiliations:
  • Dalian University of Technology, Dalian, China


According to our database1, Min Han authored at least 188 papers between 2003 and 2024.

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Bibliography

2024
Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Hierarchical Evolving Fuzzy System: A Method for Multidimensional Chaotic Time Series Online Prediction.
IEEE Trans. Fuzzy Syst., June, 2024

A Robust Networking Model With Quantum Evolution for Internet of Things.
IEEE Netw., March, 2024

Mechanical Fault Diagnosis With Noisy Multisource Signals via Unified Pinball Loss Intuitionistic Fuzzy Support Tensor Machine.
IEEE Trans. Ind. Informatics, January, 2024

A time series continuous missing values imputation method based on generative adversarial networks.
Knowl. Based Syst., January, 2024

RaSRNet: An End-to-End Relation-Aware Semantic Reasoning Network for Change Detection in Optical Remote Sensing Images.
IEEE Trans. Instrum. Meas., 2024

Progressive Difference Amplification Network With Edge Sensitivity for Remote Sensing Image Change Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Dirichlet Graph Convolution Coupled Neural Differential Equation for Spatio-temporal Time Series Prediction.
Neural Process. Lett., December, 2023

Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Physics-informed hierarchical echo state network for predicting the dynamics of chaotic systems.
Expert Syst. Appl., October, 2023

Kernel Generalized Half-Quadratic Correntropy Conjugate Gradient Algorithm for Online Prediction of Chaotic Time Series.
Circuits Syst. Signal Process., May, 2023

Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm.
IEEE Trans. Ind. Informatics, April, 2023

Joint Discriminative Adversarial Domain Adaptation for Cross-Domain Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2023

Multistep-Ahead Chaotic Time Series Prediction Based on Hierarchical Echo State Network With Augmented Random Features.
IEEE Trans. Cogn. Dev. Syst., 2023

Kernel general loss algorithm based on evolving participatory learning for online time series prediction.
Eng. Appl. Artif. Intell., 2023

2022
Online Rule-Based Classifier Learning on Dynamic Unlabeled Multivariate Time Series Data.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Modified BBO-Based Multivariate Time-Series Prediction System With Feature Subset Selection and Model Parameter Optimization.
IEEE Trans. Cybern., 2022

Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction.
IEEE Trans. Cybern., 2022

A Novel Distributed Data-Driven Strategy for Fault Detection of Multi-Source Dynamic Systems.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning.
Soft Comput., 2022

LWCDNet: A Lightweight Fully Convolution Network for Change Detection in Optical Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2022

Mutual Information Variational Autoencoders and Its Application to Feature Extraction of Multivariate Time Series.
Int. J. Pattern Recognit. Artif. Intell., 2022

Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning.
Int. J. Artif. Intell. Tools, 2022

MLFC-net: A multi-level feature combination attention model for remote sensing scene classification.
Comput. Geosci., 2022

2021
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2021

Hybrid Regularization of Diffusion Process for Visual Re-Ranking.
IEEE Trans. Image Process., 2021

Exponential Stability of Discrete-Time Neural Networks With Large Delay.
IEEE Trans. Cybern., 2021

Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm.
Soft Comput., 2021

DSTnet: a new discrete shearlet transform-based CNN model for image denoising.
Multim. Syst., 2021

A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation.
Neurocomputing, 2021

Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series.
Circuits Syst. Signal Process., 2021

Multi-Background Island Bird Detection Based on Faster R-CNN.
Cybern. Syst., 2021

2020
A Review on Intelligence Dehazing and Color Restoration for Underwater Images.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2020

Computer Modeling of the Eddy Current Losses of Metal Fasteners in Rotor Slots of a Large Nuclear Steam Turbine Generator Based on Finite-Element Method and Deep Gaussian Process Regression.
IEEE Trans. Ind. Electron., 2020

Recurrent Broad Learning Systems for Time Series Prediction.
IEEE Trans. Cybern., 2020

Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance.
IEEE Trans. Cybern., 2020

Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference.
IEEE Trans. Control. Syst. Technol., 2020

A nonsubsampled countourlet transform based CNN for real image denoising.
Signal Process. Image Commun., 2020

Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things.
IEEE Internet Things J., 2020

Data-driven based fault prognosis for industrial systems: a concise overview.
IEEE CAA J. Autom. Sinica, 2020

Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective.
Eng. Appl. Artif. Intell., 2020

Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction.
Eng. Appl. Artif. Intell., 2020

Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform.
IEEE Access, 2020

Bagging of Gaussian Process for Large Generator Eddy Current Prediction.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Time-series Prediction Based on VMD and Stack Recurrent Neural Network.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2019

Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2019

UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction.
IEEE Trans. Knowl. Data Eng., 2019

Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction.
IEEE Trans. Cybern., 2019

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm.
IEEE Trans. Cybern., 2019

Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview.
IEEE Trans. Cybern., 2019

Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series.
IEEE Trans. Cybern., 2019

A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine.
Neural Process. Lett., 2019

Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective.
Neural Networks, 2019

Hyperspectral image classification based on multiple reduced kernel extreme learning machine.
Int. J. Mach. Learn. Cybern., 2019

An Evolutional Networking Model for Three-Dimensional Topology in Internet of Things.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Regularization in DQN for Parameter-Varying Control Learning Tasks.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Pseudoinverse Learners: New Trend and Applications to Big Data.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Clustering-enhanced PointCNN for Point Cloud Classification Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Resilient Exponential Consensus with Time-Varying Adversary Attacks and Asynchronous Events.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability.
IEEE Trans. Neural Networks Learn. Syst., 2018

Laplacian Echo State Network for Multivariate Time Series Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities.
IEEE Trans. Ind. Informatics, 2018

Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm.
Sensors, 2018

Learning contextual dissimilarity on tensor product graph for visual re-ranking.
Image Vis. Comput., 2018

Wavelet-denoising multiple echo state networks for multivariate time series prediction.
Inf. Sci., 2018

Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Classification of Hyperspectral Remote Sensing Image Data from IoT Based on Rotation Forest and ELM with Kernel.
Proceedings of the 2018 IEEE International Conference on Smart Internet of Things (SmartIoT), 2018

Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Marine Aquaculture Targets Automatic Recognition Based on GF-3 PolSAR Imagery.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

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

Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Chaotic Time Series Prediction Based on Improved MOPSO-ELM.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid.
IEEE Trans. Ind. Informatics, 2017

Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm.
Neural Process. Lett., 2017

A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things.
IEEE Internet Things J., 2017

Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding.
Neurocomputing, 2017

SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT.
Comput. Networks, 2017

A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things.
IEEE Commun. Mag., 2017

A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities.
IEEE Commun. Mag., 2017

Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder.
IEEE Access, 2017

An Emergent Backpressure Queueing Model for Internet of Things.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Virtual Structure Formation Control via Sliding Mode Control and Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Event-triggered course-tracking control of marine surface vessels.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016
Adaptive Elastic Echo State Network for Multivariate Time Series Prediction.
IEEE Trans. Cybern., 2016

Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine.
IEEE Geosci. Remote. Sens. Lett., 2016

Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays.
J. Frankl. Inst., 2016

Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters.
Neurocomputing, 2016

An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images.
Neurocomputing, 2016

Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

PID and neural net controller performance comparsion in UAV pitch attitude control.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

Superpixel-based sparse representation classifier for hyperspectral image.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

2015
Generalized Single-Hidden Layer Feedforward Networks for Regression Problems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks.
IEEE Trans. Fuzzy Syst., 2015

Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks.
IEEE Trans. Cybern., 2015

Predicting Multivariate Time Series Using Subspace Echo State Network.
Neural Process. Lett., 2015

Online multivariate time series prediction using SCKF-γESN model.
Neurocomputing, 2015

Global mutual information-based feature selection approach using single-objective and multi-objective optimization.
Neurocomputing, 2015

Ensemble of extreme learning machine for remote sensing image classification.
Neurocomputing, 2015

An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace.
Neurocomputing, 2015

Improved extreme learning machine for multivariate time series online sequential prediction.
Eng. Appl. Artif. Intell., 2015

Joint mutual information-based input variable selection for multivariate time series modeling.
Eng. Appl. Artif. Intell., 2015

Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm.
Circuits Syst. Signal Process., 2015

Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

Image reconstruction via statistical classification for magnetic induction tomography.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Joint-classification change detection based on improved fuzzy ARTMAP.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares.
IEEE Trans. Neural Networks Learn. Syst., 2014

Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods.
IEEE Trans. Fuzzy Syst., 2014

An evolutionary membrane algorithm for global numerical optimization problems.
Inf. Sci., 2014

Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification.
Neurocomputing, 2014

Online sequential extreme learning machine with kernels for nonstationary time series prediction.
Neurocomputing, 2014

Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine.
Appl. Soft Comput., 2014

Human Action Recognition Based on Difference Silhouette and Static Reservoir.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Multivariate time series prediction based on multiple kernel extreme learning machine.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Robust structure selection of radial basis function networks for nonlinear system identification.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Adaptive robust tracking control of surface vessels using dynamic constructive fuzzy neural networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

New delay-dependent stability criteria for networks with time-varying delays.
Proceedings of the American Control Conference, 2014

Weighted support vector echo state machine for multivariate dynamic system modeling.
Proceedings of the American Control Conference, 2014

2013
Shape retrieval and recognition based on fuzzy histogram.
J. Vis. Commun. Image Represent., 2013

Stabilization for switched stochastic neutral systems under asynchronous switching.
Inf. Sci., 2013

Feature selection techniques with class separability for multivariate time series.
Neurocomputing, 2013

Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction.
Proceedings of the IEEE International Conference on Systems, 2013

An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Generalized Single-Hidden Layer Feedforward Networks.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Robust neural predictor for noisy chaotic time series prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Dynamic Evolutionary Membrane Algorithm in Dynamic Environments.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

2012
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network.
IEEE Trans. Neural Networks Learn. Syst., 2012

Remote sensing image classification based on neural network ensemble algorithm.
Neurocomputing, 2012

Multivariate chaotic time series prediction based on Hierarchic Reservoirs.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Forward Feature Selection Based on Approximate Markov Blanket.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A modified fast recursive hidden nodes selection algorithm for ELM.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Subspace Echo State Network for Multivariate Time Series Prediction.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control.
IEEE Trans. Neural Networks, 2011

Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy.
Neurocomputing, 2011

Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine.
Expert Syst. Appl., 2011

Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Case-based reasoning system based on Bayesian rough set and hierarchical mixture of experts model.
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011

2010
Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction.
Eng. Appl. Artif. Intell., 2010

Semi-supervised Bayesian ARTMAP.
Appl. Intell., 2010

Multi-reservoir Echo State Network with Sparse Bayesian Learning.
Proceedings of the Advances in Neural Networks, 2010

Probability Density Estimation Based on Nonparametric Local Kernel Regression.
Proceedings of the Advances in Neural Networks, 2010

Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection.
Proceedings of the Advances in Neural Networks, 2010

2009
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation.
Pattern Recognit., 2009

Partial Lanczos extreme learning machine for single-output regression problems.
Neurocomputing, 2009

gamma-C plane and robustness in static reservoir for nonlinear regression estimation.
Neurocomputing, 2009

Noise reduction method for chaotic signals based on dual-wavelet and spatial correlation.
Expert Syst. Appl., 2009

A two-step Pansharpening of ETM+ TIR image based on SFIM and neural network regression.
Proceedings of the IEEE International Conference on Systems, 2009

Delay Nonlinear System Predictive Control On MPSO+DNN.
Proceedings of the IEEE International Conference on Systems, 2009

An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization.
Proceedings of the International Joint Conference on Neural Networks, 2009

A Fast Two Stage Density Estimation Based on Extreme Learning Machine.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008
The hidden neurons selection of the wavelet networks using support vector machines and ridge regression.
Neurocomputing, 2008

An improved fuzzy neural network based on T-S model.
Expert Syst. Appl., 2008

Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
BitTableFI: An efficient mining frequent itemsets algorithm.
Knowl. Based Syst., 2007

Orthogonal Least Squares Based on QR Decomposition for Wavelet Networks.
Proceedings of the Advances in Neural Networks, 2007

A Modified RBF Neural Network in Pattern Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007

Variable Selection for Multivariate Time Series Prediction with Neural Networks.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Universal learning network and its application for nonlinear system with long time delay.
Comput. Chem. Eng., 2006

Multivariate Time Series Prediction by Neural Network Combining SVD.
Proceedings of the IEEE International Conference on Systems, 2006

Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Application of neural networks on multivariate time series modeling and prediction.
Proceedings of the American Control Conference, 2006

2005
A Systematic Chaotic Noise Reduction Method Combining with Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004
Modeling Dynamic System by Recurrent Neural Network with State Variables.
Proceedings of the Advances in Neural Networks, 2004

2003
Application of four-layer neural network on information extraction.
Neural Networks, 2003


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