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Generating neural networks with optimal features through particle swarm optimization Conference paper
ACM International Conference Proceeding Series
Authors:  Brito R.;  Fong S.;  Zhuang Y.;  Wu Y.
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Feature selection  Generative algorithms  Neural networks  Particle Swarm Optimization (PSO)  
Adaptive NN-DSC control design for path following of underactuated surface vessels with input saturation Journal article
NEUROCOMPUTING, 2017,Volume: 267,Page: 466-474
Authors:  Liu, Cheng;  Chen, C. L. Philip;  Zou, Zaojian;  Li, Tieshan
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
Surface vessels  Path following  NN  Serret-Frenet  LOS  DSC  
Modelling and Trading the English and German Stock Markets with Novelty Optimization Techniques Journal article
JOURNAL OF FORECASTING, 2017,Volume: 36,Issue: 8,Page: 974-988
Authors:  Karathanasopoulos, Andreas;  Mitra, Sovan;  Skindilias, Konstantinos;  Lo, Chia Chun
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particle swarm optimization  radial basis function  confirmation filters  FTSE 100  DAX 30day trading  
Adaptive neural control of MIMO stochastic systems with unknown high-frequency gains Journal article
INFORMATION SCIENCES, 2017,Volume: 418,Page: 513-530
Authors:  Chen, Ci;  Liu, Zhi;  Xie, Kan;  Zhang, Yun;  Chen, C. L. Philip
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High-frequency gains  Unknown control direction  MIMO stochastic system  Adaptive neural control  
Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems Journal article
IEEE TRANSACTIONS ON CYBERNETICS, 2017,Volume: 47,Issue: 11,Page: 3747-3757
Authors:  Liu, Yan-Jun;  Tong, Shaocheng;  Chen, C. L. Philip;  Li, Dong-Juan
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Adaptive control  barrier Lyapunov functionals (BLFs)  neural network (NN) control  uncertain nonlinear systems  
Leader-following consensus control for multiple marine vessels based on dynamic surface control and neural network Conference paper
ICCSS 2017 - 2017 International Conference on Information, Cybernetics, and Computational Social Systems
Authors:  Liu C.;  Li T.;  Chen C.L.P.
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backstepping  consensus tracking  DSC  marine vessels  neural network  
Correlated EEMD and Effective Feature Extraction for Both Periodic and Irregular Faults Diagnosis in Rotating Machinery Journal article
ENERGIES, 2017,Volume: 10,Issue: 10
Authors:  Liang, Jiejunyi;  Zhong, Jian-Hua;  Yang, Zhi-Xin
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acoustic signal  ensemble empirical mode decomposition  sparse Bayesian extreme learning machine  sample entropy  singular value decomposition  
Decomposition approach to the stability of recurrent neural networks with asynchronous time delays in quaternion field Journal article
NEURAL NETWORKS, 2017,Volume: 94,Page: 55-66
Authors:  Zhang, Dandan;  Kou, Kit Ian;  Liu, Yang;  Cao, Jinde
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Global Exponential Stability  Quaternion-valued Neural Network  Asynchronous Time Delay  Linear Matrix Inequality  
Correlated EEMD and effective feature extraction for both periodic and irregular faults diagnosis in rotating machinery Journal article
Energies, 2017,Volume: 10,Issue: 10
Authors:  Liang J.;  Zhong J.-H.;  Yang Z.-X.
Favorite  |  View/Download:4/0  |  Submit date:2018/12/22
Acoustic Signal  Ensemble Empirical Mode Decomposition  Sample Entropy  Singular Value Decomposition  Sparse Bayesian Extreme Learning Machine  
Neural network based adaptive backstepping tracking control for accommodation vessel Conference paper
Chinese Control Conference, CCC
Authors:  Wen G.;  Chen C.L.P.;  Zhou N.;  Xu Z.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
Accommodation Vessel  Adaptive tracking control  Backstepping  Neural network