Min Han
Orcid: 0000-0002-2964-4884Affiliations:
- Dalian University of Technology, Dalian, China
According to our database1,
Min Han
authored at least 185 papers
between 2003 and 2024.
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Bibliography
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
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
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
IEEE Trans. Image Process., 2021
IEEE Trans. Cybern., 2021
Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm.
Soft Comput., 2021
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
2020
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
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
Signal Process. Image Commun., 2020
IEEE Internet Things J., 2020
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
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
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
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
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
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019
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
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Ind. Informatics, 2018
Sensors, 2018
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
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
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
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
IEEE Commun. Mag., 2017
IEEE Commun. Mag., 2017
Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder.
IEEE Access, 2017
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
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
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017
2016
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
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
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
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
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
Neural Process. Lett., 2015
Neurocomputing, 2015
Global mutual information-based feature selection approach using single-objective and multi-objective optimization.
Neurocomputing, 2015
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
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
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
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
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
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
2013
J. Vis. Commun. Image Represent., 2013
Inf. Sci., 2013
Neurocomputing, 2013
Multi Reservoir Support Vector Echo State Machine for Multivariate Time Series Prediction.
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
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
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013
2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Neurocomputing, 2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
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
Proceedings of the Advances in Neural Networks, 2010
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
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
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
Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Knowl. Based Syst., 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
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
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
Proceedings of the American Control Conference, 2006
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
2004
Proceedings of the Advances in Neural Networks, 2004
2003
Neural Networks, 2003