Min Han

发表

A multi-objective evolutionary algorithm based on membrane systems

Chuang Liu, Min Han, Xinzhe Wang, 2011, The Fourth International Workshop on Advanced Computational Intelligence.

Multi-reservoir Echo State Network with Sparse Bayesian Learning

Min Han, Dayun Mu, Min Han, 2010, ISNN.

Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares

Meng Joo Er, Ning Wang, Min Han, 2014, IEEE Transactions on Neural Networks and Learning Systems.

L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction

Min Han, Meiling Xu, Shunshoku Kanae, 2016, ICONIP.

An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover classification using high-resolution remote sensing

Min Han, Yang Zhou, 2017 .

Characteristics and driving factors of marsh changes in Zhalong wetland of China

Min Han, Shi-guo Xu, Yannan Sun, 2007, Environmental monitoring and assessment.

Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods

Jun Wang, Min Han, Jianchao Fan, 2014, IEEE Transactions on Fuzzy Systems.

Modified function projective synchronization between two different complex networks with delayed couplings and delayed nodes of different dimensions

Min Han, Meng Zhang, Min Han, 2016 .

Land use and land cover classification with SPOT-5 images and Partial Lanczos Extreme Learning Machine (PL-ELM)

Ni-Bin Chang, Min Han, Wei Yao, 2010, Remote Sensing.

Remote Sensing Assessment of Coastal Land Reclamation Impact in Dalian, China, Using High-Resolution SPOT Images and Support Vector Machine

Min Han, N. Chang, W. Yao, 2012 .

Broad Learning System-Based Learning Controller for Course Control of Marine Vessels

Min Han, Tie-shan Li, C. L. P. Chen, 2019, 2019 Tenth International Conference on Intelligent Control and Information Processing (ICICIP).

UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks

Meng Zhang, Tie Qiu, Min Han, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Gaussian Process Regression for Prediction of Sulfate Content in Lakes of China

Min Han, Jing-ying Zhao, Hai Guo, 2019, Journal of Engineering and Technological Sciences.

Nonlinear time series online prediction using reservoir kalman filter

Min Han, Yanan Wang, Min Han, 2009, 2009 International Joint Conference on Neural Networks.

Probability Density Estimation Based on Nonparametric Local Kernel Regression

Min Han, Zhi-ping Liang, Min Han, 2010, ISNN.

Hybrid intelligent control of BOF oxygen volume and coolant addition

Yang Li, Min Han, Zhanji Cao, 2014, Neurocomputing.

Modeling of multivariate time series using variable selection and Gaussian process

Min Han, Weijie Ren, 2014, CCC 2014.

Vessel Maneuvering Model Identification Using Multi-Output Dynamic Fuzzy Neural Networks

Ning Wang, Min Han, Yancheng Liu, 2014, CCC 2014.

Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview

Tie Qiu, Min Han, Bing Han, 2019, IEEE Transactions on Cybernetics.

Forward Feature Selection Based on Approximate Markov Blanket

Min Han, Xiaoxin Liu, Min Han, 2012, ISNN.

Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective

Min Han, Kai Zhong, Junzhu Ma, 2020, Eng. Appl. Artif. Intell..

Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series

Min Han, Weijie Ren, Chaochao Zhao, 2021, Circuits, Systems, and Signal Processing.

Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine

Yao Zhao, Min Han, Min Han, 2011, Expert Syst. Appl..

Stabilization for switched stochastic neutral systems under asynchronous switching

Min Han, Jie Lian, Yanli Ge, 2013, Inf. Sci..

Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm

Min Han, Sunan Ge, Jie Han, 2015, Circuits Syst. Signal Process..

Virtual Structure Formation Control via Sliding Mode Control and Neural Networks

Tieshan Li, C. L. Philip Chen, Min Han, 2017, ISNN.

Semi-supervised Bayesian ARTMAP

Min Han, Xiaoliang Tang, Min Han, 2010, Applied Intelligence.

Ternary reversible extreme learning machines: the incremental tri-training method for semi-supervised classification

Min Han, Xiaoliang Tang, Min Han, 2010, Knowledge and Information Systems.

Subspace Echo State Network for Multivariate Time Series Prediction

Min Han, Meiling Xu, Min Han, 2012, ICONIP.

Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series

Tie Qiu, Min Han, Meiling Xu, 2019, IEEE Transactions on Cybernetics.

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

Jun Wang, Min Han, Decai Li, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis

Min Han, Decai Li, Ru Wei, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance

Dan Wang, Tieshan Li, Min Han, 2020, IEEE Transactions on Cybernetics.

Global mutual information-based feature selection approach using single-objective and multi-objective optimization

Min Han, Weijie Ren, Min Han, 2015, Neurocomputing.

Joint mutual information-based input variable selection for multivariate time series modeling

Min Han, Xiaoxin Liu, Weijie Ren, 2015, Eng. Appl. Artif. Intell..

Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm

Tie Qiu, Ning Wang, Min Han, 2019, IEEE Transactions on Cybernetics.

Prediction of chaotic time series based on the recurrent predictor neural network

Min Han, Shiguo Xu, Jianhui Xi, 2004, IEEE Transactions on Signal Processing.

Chaotic system identification based on Kalman filter

Min Han, Jianhui Xi, Min Han, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Noise Smoothing for Nonlinear Time Series Using Wavelet Soft Threshold

Wei Guo, Min Han, Yuhua Liu, 2007, IEEE Signal Processing Letters.

Recurrent Broad Learning Systems for Time Series Prediction

Tie Qiu, Min Han, C L Philip Chen, 2020, IEEE Transactions on Cybernetics.

Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction

C. L. Philip Chen, Tie Qiu, Min Han, 2019, IEEE Transactions on Knowledge and Data Engineering.

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

Min Han, Zhanji Cao, Min Han, 2015, Neurocomputing.

Nonliear model predictive control of ball-plate system based on gaussian particle swarm optimization

Min Han, Jianchao Fan, Min Han, 2012, 2012 IEEE Congress on Evolutionary Computation.

A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation

Min Han, Yanfen Wang, Lu Nannan, 2021, Neurocomputing.

Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction

Tie Qiu, Hongfei Lin, Min Han, 2019, IEEE Transactions on Cybernetics.

Laplacian Echo State Network for Multivariate Time Series Prediction

Min Han, Meiling Xu, Min Han, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive Elastic Echo State Network for Multivariate Time Series Prediction

Min Han, Meiling Xu, Min Han, 2016, IEEE Transactions on Cybernetics.

Analysis and modeling of multivariate chaotic time series based on neural network

Y. Wang, Min Han, Min Han, 2009, Expert Syst. Appl..

Support Vector Echo-State Machine for Chaotic Time-Series Prediction

Min Han, Zhiwei Shi, Min Han, 2007, IEEE Transactions on Neural Networks.

Dynamic Evolutionary Membrane Algorithm in Dynamic Environments

Min Han, Chuang Liu, Chuang Liu, 2013, EvoCOP.

Delay nonlinear system predictive control on MPSO+DNN

Min Han, Jianchao Fan, Min Han, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT

Mingchu Li, Tie Qiu, Min Han, 2017, Comput. Networks.

Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns

Ning Wang, Min Han, Wen-Hua Chen, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Efficient feature extraction framework for EEG signals classification

Tieshan Li, Min Han, Dan Wang, 2016, 2016 Seventh International Conference on Intelligent Control and Information Processing (ICICIP).

Robust relevance vector machine with noise variance coefficient

Yao Zhao, Min Han, Min Han, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm

Min Han, Weijie Ren, Yiwen Wang, 2021, Soft Computing.

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

Jingying Zhao, Hai Guo, Min Han, 2020, IEEE Transactions on Industrial Electronics.

A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control

Jun Wang, Min Han, Jianchao Fan, 2011, IEEE Transactions on Neural Networks.

Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective

Min Han, Yen Wei Chen, Weijie Ren, 2019, Neural Networks.

A Review on Intelligence Dehazing and Color Restoration for Underwater Images

Tie Qiu, Zhiyu Lyu, Min Han, 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation

Jun Wang, Min Han, Jianchao Fan, 2009, Pattern Recognit..

SinglepointiterativeweightedfuzzyC-meansclusteringalgorithmforremotesensing imagesegmentation

Jianchao Fan, Min Han, Min Han, 2009 .

Remote sensing image fusion using particle swam optimization

Min Han, Wei Yao, Min Han, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Improved GIHSA for image fusion based on parameter optimization

Wei Yao, Min Han, Min Han, 2010 .

Exponential Stability of Discrete-Time Neural Networks With Large Delay

Min Han, Guangdeng Zong, Bin Yang, 2019, IEEE Transactions on Cybernetics.

Multivariate Chaotic Time Series Prediction Based on ELM–PLSR and Hybrid Variable Selection Algorithm

Min Han, Meiling Xu, Ruiquan Zhang, 2017, Neural Processing Letters.

Data-driven based fault prognosis for industrial systems: a concise overview

Bing Han, Min Han, Kai Zhong, 2020, IEEE/CAA Journal of Automatica Sinica.

A Novel Dynamic Update Framework for Epileptic Seizure Prediction

Min Han, Jie Han, Sunan Ge, 2014, BioMed research international.

An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images

Xue Yang, Min Han, Enda Jiang, 2016, Neurocomputing.

A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders

Min Han, Jianchao Fan, Kai Lin, 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Remote sensing image classification based on neural network ensemble algorithm

Min Han, Wei Yao, Xinrong Zhu, 2012, Neurocomputing.

Change detection of land use and land cover in an urban region with SPOT-5 images and partial Lanczos extreme learning machine

Ni-Bin Chang, Min Han, Wei Yao, 2010 .

Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine

Chuang Liu, Min Han, Chuang Liu, 2014, Appl. Soft Comput..

Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction

Jun Wang, Min Han, Xinzhe Wang, 2010, Eng. Appl. Artif. Intell..

Comparison with reconstruction algorithms in magnetic induction tomography

Min Han, Min Han, Xiaolin Cheng, 2016, Physiological measurement.

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

Min Han, Wei Yao, Shiguo Xu, 2010, Ecol. Informatics.

A hybrid prognostic strategy with unscented particle filter and optimized multiple kernel relevance vector machine for lithium-ion battery

Kai Zhong, Min Han, Xiaofei Sun, 2020 .

Analysis of Population Size in Artificial Bee Colony Algorithm

Meihua Yang, Xianneng Li, Min Han, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

IFCIA: An Efficient Algorithm for Mining Intertransaction Frequent Closed Itemsets

Jie Dong, Min Han, Min Han, 2007, Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007).

BitTableFI: An efficient mining frequent itemsets algorithm

Jie Dong, Min Han, Min Han, 2007, Knowl. Based Syst..

DSTnet: a new discrete shearlet transform-based CNN model for image denoising

Zhiyu Lyu, Min Han, Chengkun Zhang, 2021, Multimedia Systems.

Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding

Min Han, Chengkun Zhang, Min Han, 2017, Neurocomputing.

PID and neural net controller performance comparsion in UAV pitch attitude control

Min Han, Muluken Regas Eressa, Danchen Zheng, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm

Min Han, Fei Lv, Min Han, 2018, Sensors.

Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine

Weijie Ren, Min Han, Min Han, 2018, Neural Processing Letters.

Classification of Hyperspectral Remote Sensing Image Data from IoT Based on Rotation Forest and ELM with Kernel

Tie Qiu, Min Han, Fei Lv, 2018, 2018 IEEE International Conference on Smart Internet of Things (SmartIoT).

Improved extreme learning machine for multivariate time series online sequential prediction

Min Han, Xinying Wang, Min Han, 2015, Eng. Appl. Artif. Intell..

Online sequential extreme learning machine with kernels for nonstationary time series prediction

Min Han, Xinying Wang, Min Han, 2014, Neurocomputing.

Modeling Dynamic System by Recurrent Neural Network with State Variables

Wei Wang, Min Han, Zhiwei Shi, 2004, ISNN.

Joint-classification change detection based on improved fuzzy ARTMAP

Min Han, Yang Zhou, Min Han, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities

C. L. Philip Chen, Tie Qiu, Kaiyu Zheng, 2018, IEEE Transactions on Industrial Informatics.

Nonlinear Model Predictive Control for Fin Stabilizer System of Marine Vessels Based on Recurrent Neural Network

Tieshan Li, C. L. Philip Chen, Yang Xiao, 2019, 2019 9th International Conference on Information Science and Technology (ICIST).

Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis

Tie Qiu, Min Han, Meiling Xu, 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Multivariate chaotic time series prediction based on improved extreme learning machine

Min Han, Hongxing Li, Meiling Xu, 2017, 2017 36th Chinese Control Conference (CCC).

A modified fast recursive hidden nodes selection algorithm for ELM

Min Han, Xinying Wang, Min Han, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Partial Lanczos extreme learning machine for single-output regression problems

Min Han, Xiaoliang Tang, Min Han, 2009, Neurocomputing.

Hybrid Regularization of Diffusion Process for Visual Re-Ranking

Min Han, Jianchao Fan, Danchen Zheng, 2021, IEEE Transactions on Image Processing.

Learning contextual dissimilarity on tensor product graph for visual re-ranking

Min Han, Wangshu Liu, Danchen Zheng, 2018, Image Vis. Comput..

Ensemble of extreme learning machine for remote sensing image classification

Min Han, Ben Liu, Min Han, 2015, Neurocomputing.

Deep Actor–Critic Learning-Based Robustness Enhancement of Internet of Things

Tie Qiu, Pan Zhou, Min Han, 2020, IEEE Internet of Things Journal.

Wavelet-denoising multiple echo state networks for multivariate time series prediction

Hongfei Lin, Min Han, Meiling Xu, 2018, Inf. Sci..

Feature selection techniques with class separability for multivariate time series

Min Han, Xiaoxin Liu, Min Han, 2013, Neurocomputing.

Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter

Min Han, Shuhui Zhang, Meiling Xu, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Multivariate time series online prediction based on adaptive normalized sparse kernel recursive least squares algorithm

Min Han, Jun Wang, Dan Wang, 2017, 2017 Seventh International Conference on Information Science and Technology (ICIST).

An improved distance regularization level set evolution method for coastline change detection

Kai Lin, Min Han, Chengkun Zhang, 2020, 2020 39th Chinese Control Conference (CCC).

An evolutionary membrane algorithm for global numerical optimization problems

Min Han, Chuang Liu, Jun Xing, 2014, Inf. Sci..

Remote sensing image classification with parameter optimized Support Vector Machine based on evolutionary computation

Min Han, Wei Yao, Min Han, 2011, The Fourth International Workshop on Advanced Computational Intelligence.

Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference

Tie Qiu, Yen-Wei Chen, Bing Han, 2020, IEEE Transactions on Control Systems Technology.

Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis

Tie Qiu, Min Han, Kai Zhong, 2020, IEEE Transactions on Neural Networks and Learning Systems.

A nonsubsampled countourlet transform based CNN for real image denoising

Zhiyu Lyu, Chengkun Zhang, Min Han, 2020, Signal Process. Image Commun..

Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction

Weijie Ren, Tianyu Shen, Min Han, 2020, Eng. Appl. Artif. Intell..

A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid

Tie Qiu, Burak Kantarci, Kaiyu Zheng, 2017, IEEE Transactions on Industrial Informatics.

Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction

Tie Qiu, C L Philip Chen, Min Han, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder

Tie Qiu, Min Han, Fei Lv, 2017, IEEE Access.

Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction

Tie Qiu, Hongfei Lin, Min Han, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things

Tie Qiu, Min Han, Huansheng Ning, 2017, IEEE Internet of Things Journal.

Finite‐element analysis combined with an ensemble Gaussian process regression to predict the damper eddy current losses in a large turbo‐generator

Jingying Zhao, Min Han, Likun Wang, 2020, IET Science, Measurement & Technology.

Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series Prediction

Tie Qiu, Weijie Ren, Min Han, 2020, IEEE Transactions on Cybernetics.

An improved fuzzy ARTMAP network and its application in wetland classification

Min Han, Lei Cheng, Xiaoliang Tang, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Distributed dynamic process monitoring based on dynamic slow feature analysis with minimal redundancy maximal relevance

Kai Zhong, Min Han, Dewei Ma, 2020, Control Engineering Practice.

Hyperspectral image classification based on multiple reduced kernel extreme learning machine

Min Han, Fei Lv, Min Han, 2019, Int. J. Mach. Learn. Cybern..

Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction

Min Han, Xinying Wang, Min Han, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Application of four-layer neural network on information extraction

Min Han, Hua Meng, Lei Cheng, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction

Jun Wang, Min Han, Weijie Li, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA

Min Han, Weijie Li, Shoubo Feng, 2018, ICONIP.

Multivariate chaotic time series prediction based on Hierarchic Reservoirs

Min Han, Xinying Wang, Min Han, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An improved fuzzy neural network based on T-S model

Min Han, Yannan Sun, Yingnan Fan, 2008, Expert Syst. Appl..

Predicting Multivariate Time Series Using Subspace Echo State Network

Min Han, Meiling Xu, 2015, Neural Processing Letters.

Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability

Zhongjiu Zheng, Meng Joo Er, Ning Wang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Magnetic Induction Tomography

Min Han, Yuyan Xue, Min Han, 2015 .

gamma-C plane and robustness in static reservoir for nonlinear regression estimation

Min Han, Zhiwei Shi, Min Han, 2009, Neurocomputing.

Weighted support vector echo state machine for multivariate dynamic system modeling

Min Han, Xinying Wang, Min Han, 2014, 2014 American Control Conference.

Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm

Min Han, Jie Han, Sunan Ge, 2015, Circuits, Systems, and Signal Processing.

Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy

Min Han, Decai Li, Zhi-ping Liang, 2011, Neurocomputing.

Universal learning network and its application for nonlinear system with long time delay

Kotaro Hirasawa, Min Han, Bing Han, 2006, Comput. Chem. Eng..

Online sequential extreme learning machine with kernels for nonstationary time series prediction

Min Han, Xinying Wang, 2014, Neurocomputing.

EEG signal classification for epilepsy diagnosis based on AR model and RVM

Min Han, Leilei Sun, Min Han, 2010, 2010 International Conference on Intelligent Control and Information Processing.

Efficient clustering of radial basis perceptron neural network for pattern recognition

Min Han, Jianhui Xi, Min Han, 2004, Pattern Recognit..

Application of Kalman filter to chaotic prediction of sunspots

Min Han, Jianhui Xi, Min Han, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

The hidden neurons selection of the wavelet networks using support vector machines and ridge regression

Min Han, Jia Yin, Min Han, 2008, Neurocomputing.

An Aerial Image Stitching Algorithm Based on Long-distance Features

Min Han, Qiang Liu, Jun Wang, 2021, 2021 11th International Conference on Information Science and Technology (ICIST).

A Systematic Chaotic Noise Reduction Method Combining with Neural Network

Min Han, Yuhua Liu, Jianhui Xi, 2005, ISNN.

Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update

Jun Wang, Min Han, Junzhu Ma, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters

Min Han, Yamei Zhang, Meng Zhang, 2016, Neurocomputing.

Object-wise joint-classification change detection for remote sensing images based on entropy query-by fuzzy ARTMAP

Yang Zhou, Chengkun Zhang, Min Han, 2018 .

Application of universal learning network to the pH neutralization process identification

Min Han, Jia Xiaomeng, Min Han, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).