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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2021
[j111]Dongri Shan
, Xiaodong Bi, Xiaofang Wang, Peng Zhang, Zhoufang Xu, Min Han, Yang Liu, Chenglong Zhang, Yalu Xu:
The Impact of Control Point Dispersion on Measurement Accuracy in a New Type of Light-Pen Coordinate Measuring System. IEEE Access 9: 76015-76023 (2021)- [j110]Min Han, Yong Xu, Bin Pei:
Mixed stochastic differential equations: Averaging principle result. Appl. Math. Lett. 112: 106705 (2021) - [j109]Jianchao Fan, Xiaoxin Liu, Xinzhe Wang, Deyi Wang, Min Han:
Multi-Background Island Bird Detection Based on Faster R-CNN. Cybern. Syst. 52(1): 26-35 (2021) - [j108]Chaochao Zhao, Weijie Ren, Min Han:
Adaptive Sparse Quantization Kernel Least Mean Square Algorithm for Online Prediction of Chaotic Time Series. Circuits Syst. Signal Process. 40(9): 4346-4369 (2021) - [j107]Nannan Lu, Hanhan Xiao, Yanjing Sun, Min Han, Yanfen Wang:
A new method for intelligent fault diagnosis of machines based on unsupervised domain adaptation. Neurocomputing 427: 96-109 (2021) - [j106]Zhiyu Lyu, Chengkun Zhang, Min Han:
DSTnet: a new discrete shearlet transform-based CNN model for image denoising. Multim. Syst. 27(6): 1165-1177 (2021) - [j105]Weijie Ren, Yiwen Wang, Min Han:
Time series prediction based on echo state network tuned by divided adaptive multi-objective differential evolution algorithm. Soft Comput. 25(6): 4489-4502 (2021) - [j104]Bin Yang, Mengnan Hao, Min Han, Xudong Zhao, Guangdeng Zong:
Exponential Stability of Discrete-Time Neural Networks With Large Delay. IEEE Trans. Cybern. 51(5): 2824-2834 (2021) - [j103]Danchen Zheng, Jianchao Fan, Min Han:
Hybrid Regularization of Diffusion Process for Visual Re-Ranking. IEEE Trans. Image Process. 30: 3705-3719 (2021) - [j102]Min Han, Weijie Li, Shoubo Feng, Tie Qiu, C. L. Philip Chen:
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2320-2329 (2021) - 2020
- [j101]Zhiyu Lyu, Min Han, Decai Li:
Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform. IEEE Access 8: 5009-5021 (2020) - [j100]Zheng Ma, Min Han, Yaoming Li, Hongyan Gao, En Lu, Farman Ali Chandio, Kechao Ma:
Motion of cereal particles on variable-amplitude sieve as determined by high-speed image analysis. Comput. Electron. Agric. 174: 105465 (2020) - [j99]Kai Zhong, Junzhu Ma, Min Han:
Online prediction of noisy time series: Dynamic adaptive sparse kernel recursive least squares from sparse and adaptive tracking perspective. Eng. Appl. Artif. Intell. 91: 103547 (2020) - [j98]Tianyu Shen, Weijie Ren, Min Han:
Quantized generalized maximum correntropy criterion based kernel recursive least squares for online time series prediction. Eng. Appl. Artif. Intell. 95: 103797 (2020) - [j97]Kai Zhong, Min Han, Bing Han:
Data-driven based fault prognosis for industrial systems: a concise overview. IEEE CAA J. Autom. Sinica 7(2): 330-345 (2020) - [j96]Ning Chen, Tie Qiu, Chaoxu Mu, Min Han, Pan Zhou:
Deep Actor-Critic Learning-Based Robustness Enhancement of Internet of Things. IEEE Internet Things J. 7(7): 6191-6200 (2020) - [j95]Zhiyu Lyu, Chengkun Zhang, Min Han:
A nonsubsampled countourlet transform based CNN for real image denoising. Signal Process. Image Commun. 82: 115727 (2020) - [j94]Kai Zhong, Min Han, Tie Qiu, Bing Han, Yen-Wei Chen:
Distributed Dynamic Process Monitoring Based on Minimal Redundancy Maximal Relevance Variable Selection and Bayesian Inference. IEEE Trans. Control. Syst. Technol. 28(5): 2037-2044 (2020) - [j93]Meiling Xu, Min Han, C. L. Philip Chen, Tie Qiu:
Recurrent Broad Learning Systems for Time Series Prediction. IEEE Trans. Cybern. 50(4): 1405-1417 (2020) - [j92]Zhouhua Peng, Dan Wang, Tieshan Li, Min Han:
Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance. IEEE Trans. Cybern. 50(6): 2527-2535 (2020) - [j91]Kai Zhong, Min Han, Tie Qiu, Bing Han:
Fault Diagnosis of Complex Processes Using Sparse Kernel Local Fisher Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1581-1591 (2020) - [j90]Min Han, Zhiyu Lyu, Tie Qiu, Meiling Xu:
A Review on Intelligence Dehazing and Color Restoration for Underwater Images. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1820-1832 (2020) - [c111]Jing-ying Zhao, Min Han, Hai Guo, Haoran Tang, Na Dong, Enming Zhao:
Bagging of Gaussian Process for Large Generator Eddy Current Prediction. ICACI 2020: 184-188 - [c110]Junzhu Ma, Min Han, Jun Wang:
Online Time Series Prediction Based Modified Kernel Recursive Least-Squares from Random Projection and Adaptive Update. ICACI 2020: 432-438 - [c109]Weijie Li, Min Han, Jun Wang:
Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction. ICACI 2020: 439-445 - [c108]Xin Li, Weijie Ren, Jingying Zhao, Min Han:
Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting. ICACI 2020: 446-452 - [c107]Tao Jiang, Min Han, Jun Wang:
Time-series Prediction Based on VMD and Stack Recurrent Neural Network. ICACI 2020: 522-528 - [e1]Min Han, Sitian Qin, Nian Zhang:
Advances in Neural Networks - ISNN 2020 - 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4-6, 2020, Proceedings. Lecture Notes in Computer Science 12557, Springer 2020, ISBN 978-3-030-64220-4 [contents]
2010 – 2019
- 2019
- [j89]Min Han, Wenbin Dou:
Compact Clock-Shaped Broadband Circularly Polarized Antenna Based on Characteristic Mode Analysis. IEEE Access 7: 159952-159959 (2019) - [j88]Min Han, Jiangming Kan, Yutan Wang:
Ellipsoid Fitting Using Variable Sample Consensus and Two-Ellipsoid-Bounding-Counting for Locating Lingwu Long Jujubes in a Natural Environment. IEEE Access 7: 164374-164385 (2019) - [j87]Min Han, Dongdong Sun:
Rational creation and systematic analysis of cervical cancer kinase-inhibitor binding profile. J. Comput. Aided Mol. Des. 33(7): 689-698 (2019) - [j86]Fei Lv, Min Han:
Hyperspectral image classification based on multiple reduced kernel extreme learning machine. Int. J. Mach. Learn. Cybern. 10(12): 3397-3405 (2019) - [j85]Rui Hou, Min Han, Jing Chen, Wenbin Hu, Xiaobin Tan, Jiangtao Luo, Maode Ma:
Theil-Based Countermeasure against Interest Flooding Attacks for Named Data Networks. IEEE Netw. 33(3): 116-121 (2019) - [j84]Shoubo Feng, Weijie Ren, Min Han, Yen-Wei Chen:
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective. Neural Networks 117: 179-190 (2019) - [j83]Weijie Ren, Min Han:
Classification of EEG Signals Using Hybrid Feature Extraction and Ensemble Extreme Learning Machine. Neural Process. Lett. 50(2): 1281-1301 (2019) - [j82]Jianchao Fan, Kai Lin, Min Han:
A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(2): 685-699 (2019) - [j81]Min Han, Shuhui Zhang, Meiling Xu, Tie Qiu, Ning Wang:
Multivariate Chaotic Time Series Online Prediction Based on Improved Kernel Recursive Least Squares Algorithm. IEEE Trans. Cybern. 49(4): 1160-1172 (2019) - [j80]Min Han, Weijie Ren, Meiling Xu, Tie Qiu:
Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series. IEEE Trans. Cybern. 49(5): 1885-1895 (2019) - [j79]Meiling Xu, Min Han, Tie Qiu, Hongfei Lin:
Hybrid Regularized Echo State Network for Multivariate Chaotic Time Series Prediction. IEEE Trans. Cybern. 49(6): 2305-2315 (2019) - [j78]Min Han, Kai Zhong, Tie Qiu, Bing Han:
Interval Type-2 Fuzzy Neural Networks for Chaotic Time Series Prediction: A Concise Overview. IEEE Trans. Cybern. 49(7): 2720-2731 (2019) - [j77]Min Han, Shoubo Feng, C. L. Philip Chen, Meiling Xu, Tie Qiu:
Structured Manifold Broad Learning System: A Manifold Perspective for Large-Scale Chaotic Time Series Analysis and Prediction. IEEE Trans. Knowl. Data Eng. 31(9): 1809-1821 (2019) - [j76]Min Han, Meng Zhang, Tie Qiu, Meiling Xu:
UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks. IEEE Trans. Neural Networks Learn. Syst. 30(1): 255-268 (2019) - [j75]Meiling Xu, Yuanzhe Yang, Min Han, Tie Qiu, Hongfei Lin:
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1621-1634 (2019) - [j74]Ning Wang, Shun-Feng Su, Min Han, Wen-Hua Chen:
Backpropagating Constraints-Based Trajectory Tracking Control of a Quadrotor With Constrained Actuator Dynamics and Complex Unknowns. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1322-1337 (2019) - [j73]Min Han, Ruiquan Zhang, Tie Qiu, Meiling Xu, Weijie Ren:
Multivariate Chaotic Time Series Prediction Based on Improved Grey Relational Analysis. IEEE Trans. Syst. Man Cybern. Syst. 49(10): 2144-2154 (2019) - [c106]Shuqin Gao, Min Han, Deqiang Wang, Meng Wang:
A Fast Eyelash Detection Algorithm Based on Morphological Operation. CISP-BMEI 2019: 1-5 - [c105]Weiguo Xia, Ji Liu, Shuang Li, Xi-Ming Sun, Min Han:
Resilient Exponential Consensus with Time-Varying Adversary Attacks and Asynchronous Events. CDC 2019: 5438-5443 - [c104]Yikuan Yu, Fei Li, Yu Zheng, Min Han, Xinyi Le:
Clustering-enhanced PointCNN for Point Cloud Classification Learning. IJCNN 2019: 1-6 - [c103]Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng:
Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL 2019: 158-168 - [c102]Dazi Li, Chengjia Lei, Qibing Jin, Min Han:
Regularization in DQN for Parameter-Varying Control Learning Tasks. ISNN (2) 2019: 35-44 - [c101]Bin Sun, Guo-Zhong Li, Min Han, Qiu-Hua Lin:
A Deep Learning Approach to Detecting Changes in Buildings from Aerial Images. ISNN (2) 2019: 414-421 - [c100]Jianchao Fan, Xiaoxin Liu, Yuanyuan Hu, Min Han:
PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder. ISNN (2) 2019: 469-476 - [c99]Songwei Zhang, Tie Qiu, Min Han, Azizur Rahim, Wenbing Zhao:
An Evolutional Networking Model for Three-Dimensional Topology in Internet of Things. SMC 2019: 1355-1359 - 2018
- [j72]Min Han, Yifan Song, Jiaqiang Qian, Dengming Ming:
Sequence-based prediction of physicochemical interactions at protein functional sites using a function-and-interaction-annotated domain profile database. BMC Bioinform. 19(1): 204:1-204:12 (2018) - [j71]Meiling Xu, Min Han, Hongfei Lin:
Wavelet-denoising multiple echo state networks for multivariate time series prediction. Inf. Sci. 465: 439-458 (2018) - [j70]Danchen Zheng, Wangshu Liu, Min Han:
Learning contextual dissimilarity on tensor product graph for visual re-ranking. Image Vis. Comput. 79: 1-10 (2018) - [j69]Fei Lv, Min Han:
Hyperspectral Image Classification Based on Improved Rotation Forest Algorithm. Sensors 18(11): 3601 (2018) - [j68]Tie Qiu, Kaiyu Zheng, Min Han, C. L. Philip Chen, Meiling Xu:
A Data-Emergency-Aware Scheduling Scheme for Internet of Things in Smart Cities. IEEE Trans. Ind. Informatics 14(5): 2042-2051 (2018) - [j67]Min Han, Meiling Xu:
Laplacian Echo State Network for Multivariate Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 29(1): 238-244 (2018) - [j66]Ning Wang, Jing-Chao Sun, Min Han, Zhongjiu Zheng, Meng Joo Er:
Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3747-3760 (2018) - [c98]Meiling Xu, Xin Li, Min Han:
Chaotic Time Series Prediction Based on Improved MOPSO-ELM. ACC 2018: 4863-4868 - [c97]Weijie Li, Min Han, Shoubo Feng:
Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA. ICONIP (6) 2018: 56-66 - [c96]Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin:
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN 2018: 1-6 - [c95]Shuhui Zhang, Min Han, Meiling Xu:
Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter. IJCNN 2018: 1-6 - [c94]Jianchao Fan, Jianhua Zhao, Min Han, Xinxin Wang, Bingnan Li:
Marine Aquaculture Targets Automatic Recognition Based on GF-3 PolSAR Imagery. ISNN 2018: 451-458 - [c93]Yu Li, Min Han, Bing Han, Xinyi Le, Shunshoku Kanae:
Fault Diagnosis Method of Diesel Engine Based on Improved Structure Preserving and K-NN Algorithm. ISNN 2018: 656-664 - [c92]Fei Lv, Min Han, Tie Qiu:
Classification of Hyperspectral Remote Sensing Image Data from IoT Based on Rotation Forest and ELM with Kernel. SmartIoT 2018: 229-234 - [c91]Xianneng Li, Meihua Yang, Huiyan Yang, Shizhe Wu, Guangfei Yang, Min Han, Shunshoku Kanae:
Analysis of Population Size in Artificial Bee Colony Algorithm. SMC 2018: 3637-3640 - [c90]Deyi Wang, Jianchao Fan, Min Han, Ping Guo, Yuzhen Lu:
Marine Floating Raft Aquaculture Back Scattering Feature Analysis Based On ISAR Imagery. SSCI 2018: 1902-1905 - 2017
- [j65]Fei Lv, Min Han, Tie Qiu:
Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked Autoencoder. IEEE Access 5: 9021-9031 (2017) - [j64]Tie Qiu, Ruixuan Qiao, Min Han, Arun Kumar Sangaiah, Ivan Lee:
A Lifetime-Enhanced Data Collecting Scheme for the Internet of Things. IEEE Commun. Mag. 55(11): 132-137 (2017) - [j63]Tie Qiu, Jie Liu, Weisheng Si, Min Han, Huansheng Ning, Mohammed Atiquzzaman:
A Data-Driven Robustness Algorithm for the Internet of Things in Smart Cities. IEEE Commun. Mag. 55(12): 18-23 (2017) - [j62]Tie Qiu, Xize Liu, Min Han, Mingchu Li, Yushuang Zhang:
SRTS : A Self-Recoverable Time Synchronization for sensor networks of healthcare IoT. Comput. Networks 129: 481-492 (2017) - [j61]Min Han, Chengkun Zhang:
Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding. Neurocomputing 243: 133-141 (2017) - [j60]Tie Qiu, Xize Liu, Min Han, Huansheng Ning, Dapeng Oliver Wu:
A Secure Time Synchronization Protocol Against Fake Timestamps for Large-Scale Internet of Things. IEEE Internet Things J. 4(6): 1879-1889 (2017) - [j59]Min Han, Ruiquan Zhang, Meiling Xu:
Multivariate Chaotic Time Series Prediction Based on ELM-PLSR and Hybrid Variable Selection Algorithm. Neural Process. Lett. 46(2): 705-717 (2017) - [j58]Tie Qiu, Kaiyu Zheng, Houbing Song, Min Han, Burak Kantarci:
A Local-Optimization Emergency Scheduling Scheme With Self-Recovery for a Smart Grid. IEEE Trans. Ind. Informatics 13(6): 3195-3205 (2017) - [c89]Rong Zhao, Tieshan Li, Cheng Liu, Philip C. L. Chen, Min Han:
Event-triggered course-tracking control of marine surface vessels. ICCA 2017: 391-396 - [c88]Shoubo Feng, Meiling Xu, Min Han:
Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine. ICONIP (4) 2017: 402-409 - [c87]Xiaolin Cheng, Meiling Xu, Min Han:
Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine. ICONIP (4) 2017: 410-418 - [c86]Qi Qin, Tieshan Li, Cheng Liu, C. L. Philip Chen, Min Han:
Virtual Structure Formation Control via Sliding Mode Control and Neural Networks. ISNN (2) 2017: 101-108 - [c85]Meng Zhang, Min Han:
Finite-Time Synchronization of Uncertain Complex Networks with Nonidentical Nodes Based on a Special Unilateral Coupling Control. ISNN (2) 2017: 161-168 - [c84]Ruixuan Qiao, Tie Qiu, Min Han, Jianhua Ma, Runhe Huang:
An Emergent Backpressure Queueing Model for Internet of Things. iThings/GreenCom/CPSCom/SmartData 2017: 651-654 - 2016
- [j57]Min Han, Meng Zhang, Yamei Zhang:
Projective synchronization between two delayed networks of different sizes with nonidentical nodes and unknown parameters. Neurocomputing 171: 605-614 (2016) - [j56]Min Han, Xue Yang, Enda Jiang:
An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images. Neurocomputing 198: 27-34 (2016) - [j55]Min Han, Yamei Zhang:
Complex function projective synchronization in drive-response complex-variable dynamical networks with coupling time delays. J. Frankl. Inst. 353(8): 1742-1758 (2016) - [j54]Yinghui Dong, Min Han:
A Hyper-Erlang Jump-Diffusion Process and Applications in Finance. J. Syst. Sci. Complex. 29(2): 557-572 (2016) - [j53]Yang Zhou, Jie Lian, Min Han:
Remote Sensing Image Transfer Classification Based on Weighted Extreme Learning Machine. IEEE Geosci. Remote. Sens. Lett. 13(10): 1405-1409 (2016) - [j52]Meiling Xu, Min Han:
Adaptive Elastic Echo State Network for Multivariate Time Series Prediction. IEEE Trans. Cybern. 46(10): 2173-2183 (2016) - [c83]Meng Zhang, Min Han:
Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system. ICACI 2016: 100-107 - [c82]Meiling Xu, Min Han, Shunshoku Kanae:
L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction. ICONIP (3) 2016: 12-19 - [c81]Min Han, Chengkun Zhang, Jun Wang:
Superpixel-based sparse representation classifier for hyperspectral image. IJCNN 2016: 3614-3619 - [c80]Min Han, Chengkun Zhang, Jun Wang:
Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis. ISNN 2016: 21-29 - [c79]Min Han, Yamei Zhang:
Finite-time topology identification function projective synchronization of Cohen-Grossberg neural networks with time delays and stochastic disturbance. SMC 2016: 750-755 - [c78]Muluken Regas Eressa, Danchen Zheng, Min Han:
PID and neural net controller performance comparsion in UAV pitch attitude control. SMC 2016: 762-767 - 2015
- [j51]Sunan Ge, Jie Han, Min Han:
Nonnegative Mixture for Underdetermined Blind Source Separation Based on a Tensor Algorithm. Circuits Syst. Signal Process. 34(9): 2935-2950 (2015) - [j50]Min Han, Weijie Ren, Xiaoxin Liu:
Joint mutual information-based input variable selection for multivariate time series modeling. Eng. Appl. Artif. Intell. 37: 250-257 (2015) - [j49]Xinying Wang, Min Han:
Improved extreme learning machine for multivariate time series online sequential prediction. Eng. Appl. Artif. Intell. 40: 28-36 (2015) - [j48]Min Han, Meiling Xu, Xiaoxin Liu, Xinying Wang:
Online multivariate time series prediction using SCKF-γESN model. Neurocomputing 147: 315-323 (2015) - [j47]Xingsong Hou, Min Han, Chen Gong, Xueming Qian:
SAR complex image data compression based on quadtree and zerotree Coding in Discrete Wavelet Transform Domain: A Comparative Study. Neurocomputing 148: 561-568 (2015) - [j46]Min Han, Ben Liu:
Ensemble of extreme learning machine for remote sensing image classification. Neurocomputing 149: 65-70 (2015) - [j45]Min Han, Zhanji Cao:
An improved case-based reasoning method and its application in endpoint prediction of basic oxygen furnace. Neurocomputing 149: 1245-1252 (2015) - [j44]Min Han, Weijie Ren:
Global mutual information-based feature selection approach using single-objective and multi-objective optimization. Neurocomputing 168: 47-54 (2015) - [j43]Min Han, Meiling Xu:
Predicting Multivariate Time Series Using Subspace Echo State Network. Neural Process. Lett. 41(2): 201-209 (2015) - [j42]Ning Wang, Meng Joo Er, Min Han:
Large Tanker Motion Model Identification Using Generalized Ellipsoidal Basis Function-Based Fuzzy Neural Networks. IEEE Trans. Cybern. 45(12): 2732-2743 (2015) - [j41]Ning Wang, Meng Joo Er, Min Han:
Dynamic Tanker Steering Control Using Generalized Ellipsoidal-Basis-Function-Based Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 23(5): 1414-1427 (2015) - [j40]Ning Wang, Meng Joo Er, Min Han:
Generalized Single-Hidden Layer Feedforward Networks for Regression Problems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1161-1176 (2015) - [c77]Min Han, Yang Zhou:
Joint-classification change detection based on improved fuzzy ARTMAP. IGARSS 2015: 346-349 - [c76]Yuyan Xue, Min Han:
Image reconstruction via statistical classification for magnetic induction tomography. IJCNN 2015: 1-7 - [c75]Min Han, Yamei Zhang:
Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation. ISNN 2015: 19-27 - 2014
- [j39]Min Han, Chuang Liu:
Endpoint prediction model for basic oxygen furnace steel-making based on membrane algorithm evolving extreme learning machine. Appl. Soft Comput. 19: 430-437 (2014) - [j38]Min Han, Yang Li, Zhanji Cao:
Hybrid intelligent control of BOF oxygen volume and coolant addition. Neurocomputing 123: 415-423 (2014) - [j37]Ning Wang, Min Han, Nuo Dong, Meng Joo Er:
Constructive multi-output extreme learning machine with application to large tanker motion dynamics identification. Neurocomputing 128: 59-72 (2014) - [j36]Xinying Wang, Min Han:
Online sequential extreme learning machine with kernels for nonstationary time series prediction. Neurocomputing 145: 90-97 (2014) - [j35]Min Han, Chuang Liu, Jun Xing:
An evolutionary membrane algorithm for global numerical optimization problems. Inf. Sci. 276: 219-241 (2014) - [j34]Yong-Li Xu, Min Han, Xue-Mei Dong, Min Wang:
Least squares regression with I1-regularizer in sum space. J. Comput. Appl. Math. 261: 394-405 (2014) - [j33]Jianchao Fan, Jun Wang, Min Han:
Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. IEEE Trans. Fuzzy Syst. 22(4): 829-839 (2014) - [j32]Ning Wang, Meng Joo Er, Min Han:
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1828-1841 (2014) - [c74]Bin Yang, Lei Wang, Chenxin Fan, Min Han:
New delay-dependent stability criteria for networks with time-varying delays. ACC 2014: 2881-2886 - [c73]Min Han, Xinying Wang:
Weighted support vector echo state machine for multivariate dynamic system modeling. ACC 2014: 4824-4828 - [c72]Ning Wang, Bijun Dai, Yancheng Liu, Min Han:
Adaptive robust tracking control of surface vessels using dynamic constructive fuzzy neural networks. FUZZ-IEEE 2014: 377-382 - [c71]