
Min Han
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2020 – today
- 2021
- [j104]Min Han, Yong Xu, Bin Pei
:
Mixed stochastic differential equations: Averaging principle result. Appl. Math. Lett. 112: 106705 (2021) - [j103]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) - [j102]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) - 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) - [c110]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 - [c109]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 - [c108]Weijie Li, Min Han, Jun Wang:
Recurrent Restricted Boltzmann Machine for Chaotic Time-series Prediction. ICACI 2020: 439-445 - [c107]Xin Li, Weijie Ren, Jingying Zhao, Min Han:
Particle Swarm optimization based Neural Network Model for Chaotic Time Series Forecasting. ICACI 2020: 446-452 - [c106]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) - [c105]Shuqin Gao, Min Han, Deqiang Wang, Meng Wang:
A Fast Eyelash Detection Algorithm Based on Morphological Operation. CISP-BMEI 2019: 1-5 - [c104]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 - [c103]Yikuan Yu, Fei Li, Yu Zheng, Min Han, Xinyi Le:
Clustering-enhanced PointCNN for Point Cloud Classification Learning. IJCNN 2019: 1-6 - [c102]Ping Guo, Dongbin Zhao, Min Han, Shoubo Feng:
Pseudoinverse Learners: New Trend and Applications to Big Data. INNSBDDL 2019: 158-168 - [c101]Dazi Li, Chengjia Lei, Qibing Jin, Min Han:
Regularization in DQN for Parameter-Varying Control Learning Tasks. ISNN (2) 2019: 35-44 - [c100]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 - [c99]Jianchao Fan, Xiaoxin Liu, Yuanyuan Hu, Min Han:
PolSAR Marine Aquaculture Detection Based on Nonlocal Stacked Sparse Autoencoder. ISNN (2) 2019: 469-476 - [c98]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) - [c97]Meiling Xu, Xin Li, Min Han:
Chaotic Time Series Prediction Based on Improved MOPSO-ELM. ACC 2018: 4863-4868 - [c96]Weijie Li, Min Han, Shoubo Feng:
Multivariate Chaotic Time Series Prediction: Broad Learning System Based on Sparse PCA. ICONIP (6) 2018: 56-66 - [c95]Dazi Li, Tianjiao Kang, Jinglu Hu, Min Han, Qibing Jin:
Quasi-Linear Recurrent Neural Network based Identification and Predictive Control. IJCNN 2018: 1-6 - [c94]Shuhui Zhang, Min Han, Meiling Xu:
Chaotic Time Series Online Prediction Based on Improved Kernel Adaptive Filter. IJCNN 2018: 1-6 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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) - [c88]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 - [c87]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 - [c86]Xiaolin Cheng, Meiling Xu, Min Han:
Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine. ICONIP (4) 2017: 410-418 - [c85]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 - [c84]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 - [c83]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) - [c82]Meng Zhang, Min Han:
Finite-time projective synchronization control of uncertain complex networks with brushless DC motor and Rikitake system. ICACI 2016: 100-107 - [c81]Meiling Xu, Min Han, Shunshoku Kanae:
L1/2 Norm Regularized Echo State Network for Chaotic Time Series Prediction. ICONIP (3) 2016: 12-19 - [c80]Min Han, Chengkun Zhang, Jun Wang
:
Superpixel-based sparse representation classifier for hyperspectral image. IJCNN 2016: 3614-3619 - [c79]Min Han, Chengkun Zhang, Jun Wang
:
Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis. ISNN 2016: 21-29 - [c78]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 - [c77]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) - [c76]Min Han, Yang Zhou:
Joint-classification change detection based on improved fuzzy ARTMAP. IGARSS 2015: 346-349 - [c75]Yuyan Xue, Min Han:
Image reconstruction via statistical classification for magnetic induction tomography. IJCNN 2015: 1-7 - [c74]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) - [c73]Bin Yang, Lei Wang, Chenxin Fan, Min Han:
New delay-dependent stability criteria for networks with time-varying delays. ACC 2014: 2881-2886 - [c72]Min Han, Xinying Wang:
Weighted support vector echo state machine for multivariate dynamic system modeling. ACC 2014: 4824-4828 - [c71]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 - [c70]Xinying Wang, Min Han:
Multivariate time series prediction based on multiple kernel extreme learning machine. IJCNN 2014: 198-201 - [c69]Ning Wang, Nuo Dong, Min Han:
Vessel maneuvering model identification using multi-output dynamic radial-basis-function networks. IJCNN 2014: 1380-1385 - [c68]Ning Wang, Bijun Dai, Yancheng Liu, Min Han:
Adaptive self-constructing radial-basis-function neural control for MIMO uncertain nonlinear systems with unknown disturbances. IJCNN 2014: 3278-3283 - [c67]Pan Qin, Min Han:
Robust structure selection of radial basis function networks for nonlinear system identification. IJCNN 2014: 3284-3288 - [c66]Danchen Zheng, Min Han:
Human Action Recognition Based on Difference Silhouette and Static Reservoir. ISNN 2014: 489-498 - 2013
- [j31]