Min Han

According to our database1, Min Han authored at least 183 papers between 1997 and 2019.

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Bibliography

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

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

UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks.
IEEE Trans. Neural Netw. Learning 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. Cybernetics, 2019

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

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

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

A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2019

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

Theil-Based Countermeasure against Interest Flooding Attacks for Named Data Networks.
IEEE Network, 2019

Rational creation and systematic analysis of cervical cancer kinase-inhibitor binding profile.
Journal of Computer-Aided Molecular Design, 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

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

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

A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities.
IEEE Trans. Industrial 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 Vision Comput., 2018

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

Sequence-based prediction of physicochemical interactions at protein functional sites using a function-and-interaction-annotated domain profile database.
BMC Bioinformatics, 2018

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

Analysis of Population Size in Artificial Bee Colony Algorithm.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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. Industrial Informatics, 2017

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

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

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

A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities.
IEEE Communications Magazine, 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. Cybernetics, 2016

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

A Hyper-Erlang Jump-Diffusion Process and Applications in Finance.
J. Systems Science & Complexity, 2016

Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays.
J. Franklin Institute, 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 Netw. Learning Syst., 2015

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

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

Predicting Multivariate Time Series Using Subspace Echo State Network.
Neural Processing Letters, 2015

SAR complex image data compression based on quadtree and zerotree Coding in Discrete Wavelet Transform Domain: A Comparative Study.
Neurocomputing, 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. of AI, 2015

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

Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm.
CSSP, 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 Netw. Learning Syst., 2014

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

Least squares regression with I1-regularizer in sum space.
J. Computational Applied Mathematics, 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

Hybrid intelligent control of BOF oxygen volume and coolant addition.
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. Visual Communication and Image Representation, 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 Netw. Learning Syst., 2012

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

Improved and robust eyelash and eyelid location method.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

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

Enhancing light output of GaN-based light-emitting diodes with nanoparticle-assembled on-top layers.
Proceedings of the 7th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2012

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

A LTCC miniaturized broadband modified Marchand balun.
Proceedings of the International Symposium on Communications and Information Technologies, 2012

A novel miniaturized wideband bandpass filter using LTCC technology.
Proceedings of the International Symposium on Communications and Information Technologies, 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

Scalable Seed Expansion for Identifying Web Communities.
Proceedings of the Fourth International Symposium on Parallel Architectures, 2011

Dense palladium nanoparticle arrays with controlled coverage for fast hydrogen sensors.
Proceedings of the 6th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2011

An investigation of the plasmon enhanced/quenched molecular fluorescence based on multi-graded silver nanoparticle array substrates.
Proceedings of the 6th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2011

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

2010
Design and fabrication of 94 GHz MMIC single balanced resistive mixer without IF balun.
Microelectronics Journal, 2010

Ternary reversible extreme learning machines: the incremental tri-training method for semi-supervised classification.
Knowl. Inf. Syst., 2010

Estimating the regional evapotranspiration in Zhalong wetland with the Two-Source Energy Balance (TSEB) model and Landsat7/ETM+ images.
Ecological Informatics, 2010

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

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

Integrated optimization model for alloy addition of basic oxygen furnace based on Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Systems, 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

Robust relevance vector machine with noise variance coefficient.
Proceedings of the International Joint Conference on Neural Networks, 2010

Iris recognition based on a novel multiresolution analysis framework.
Proceedings of the International Conference on Image Processing, 2010

Iris feature extraction and recognition based on Empirical mode decomposition.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

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

Analysis and modeling of multivariate chaotic time series based on neural network.
Expert Syst. Appl., 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

Nonlinear time series online prediction using reservoir kalman filter.
Proceedings of the International Joint Conference on Neural Networks, 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
PBmice: an integrated database system of piggyBac (PB) insertional mutations and their characterizations in mice.
Nucleic Acids Research, 2008

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

Studies on Modification of Channel Material and Gate Recess Structures in Metamorphic HEMT for Improvement of Breakdown and RF Characteristics.
IEICE Transactions, 2008

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

The learning algorithm based on multiresolution analysis for neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Applying ICA on neural network to simplify BOF endpiont predicting model.
Proceedings of the International Joint Conference on Neural Networks, 2008

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

Multiple self-organizing maps for control of a redundant manipulator in an environment with obstacles.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
Support Vector Echo-State Machine for Chaotic Time-Series Prediction.
IEEE Trans. Neural Networks, 2007

Noise Smoothing for Nonlinear Time Series Using Wavelet Soft Threshold.
IEEE Signal Process. Lett., 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

IFCIA: An Efficient Algorithm for Mining Intertransaction Frequent Closed Itemsets.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Tikhonov-type regularization in local model for noisy chaotic time series prediction.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Universal learning network and its application for nonlinear system with long time delay.
Computers & Chemical Engineering, 2006

Comparison of Expected Performance on B3G Spread Spectrum Mobile Radio Links at 1.9 and 5.8 GHz Based on Propagation Measurements.
Proceedings of the 64th IEEE Vehicular Technology Conference, 2006

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

Reduction of the Multivariate Input Dimension Using Principal Component Analysis.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 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

2005
Collision avoidance for a redundant manipulator in an unstructured environment with a simplified path planning and multiple self-organizing maps.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 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

3S data feature-level fusion by neural network.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

Research on data collection and database update of GIS based on GPS technology.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

A classification framework of neural networks fusing spectrum and texture information.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005

2004
Prediction of chaotic time series based on the recurrent predictor neural network.
IEEE Trans. Signal Processing, 2004

Efficient clustering of radial basis perceptron neural network for pattern recognition.
Pattern Recognition, 2004

Optimization of sub-0.1-mum offset Gamma-shaped gate MHEMTs for millimeter-wave applications.
Microelectronics Journal, 2004

Research on Neural Network Method in GPS Data Transformation.
Proceedings of the Advances in Neural Networks, 2004

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

An improved fuzzy ARTMAP network and its application in wetland classification.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Design and realization of GPS and GIS integration technology in wetland study.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

GIS attribute data knowledge discovery system.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

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

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

Affection of the multi-branch number of universal learning networks on network structure.
Proceedings of the IEEE International Conference on Systems, 2001

Study of dynamic response of dams with neural network.
Proceedings of the IEEE International Conference on Systems, 2001

2000
Optimal structure analysis of universal learning network with multi-branches.
Proceedings of the IEEE International Conference on Systems, 2000

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


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