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A novel AdaBoost framework with robust threshold and structural optimization Journal article
IEEE Transactions on Cybernetics, 2018,Volume: 48,Issue: 1,Page: 64-76
Authors:  Zhang P.-B.;  Yang Z.-X.
Favorite  |  View/Download:8/0  |  Submit date:2018/12/22
Adaboost Algorithm  Bounds Of Empirical Error  Ensemble Method  Generalization Error  Indoor Positioning System  Robust Threshold  Special Single-layer Neural Network  Structural Optimization  
Learning Hierarchical Spectral-Spatial Features for Hyperspectral Image Classification Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 7,Page: 1667
Authors:  Zhou Y.;  Wei Y.
Favorite  |  View/Download:2/0  |  Submit date:2018/10/30
Hierarchical Learning  Hyperspectral Image Classification  Kernel-based Extreme Learning Machine  Spectral-spatial Feature  
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 7,Page: 1591
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Liu Z.
Favorite  |  View/Download:8/0  |  Submit date:2018/10/30
Backstepping  consensus tracking control  high-order multiagent systems  radial basis function neural network (RBFNN)  semi-globally uniformly ultimately bounded (SGUUB)  semi-strict feedback  
Adaptive neural control for dual-arm coordination of humanoid robot with unknown nonlinearities in output mechanism Journal article
IEEE Transactions on Cybernetics, 2015,Volume: 45,Issue: 3,Page: 521
Authors:  Liu Z.;  Chen C.;  Zhang Y.;  Chen C.L.P.
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Dual-arm coordination  humanoid robot  motion/force  neural network  unknown output nonlinearity  
Fuzzy neural network-based adaptive control for a class of uncertain nonlinear stochastic systems Journal article
IEEE Transactions on Cybernetics, 2014,Volume: 44,Issue: 5,Page: 583
Authors:  Chen C.L.P.;  Liu Y.-J.;  Wen G.-X.
Favorite  |  View/Download:4/0  |  Submit date:2018/10/30
Adaptive control  backstepping design  fuzzy-neural networks  nonlinear stochastic systems