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Mining Prognosis Index of Brain Metastases Using Artificial Intelligence Journal article
CANCERS, 2019,Volume: 11,Issue: 8
Authors:  Shigao Huang;  Jie Yang;  Simon Fong;  Qi Zhao
Favorite  |  View/Download:31/0  |  Submit date:2020/05/12
Brain Metastases  Radiosurgery  Prognosis Index  Artificial Intelligence  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems with Unknown Nonaffine Dead-Zone Input Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu Y.-J.;  Li S.;  Tong S.;  Chen C.L.P.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/11
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019,Volume: 30,Issue: 1,Page: 295-305
Authors:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
Favorite  |  View/Download:5/0  |  Submit date:2019/01/17
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning  
Modal frequency-environmental condition relation development using long-term structural health monitoring measurement: Uncertainty quantification, sparse feature selection and multivariate prediction Journal article
MEASUREMENT, 2018,Volume: 130,Page: 384-397
Authors:  Mu, He-Qing;  Yuen, Ka-Veng
Favorite  |  View/Download:9/0  |  Submit date:2018/10/30
Bayesian inference  Environmental conditions  Sparse feature selection  Modal analysis  Structural health monitoring  
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li, Zhijun;  Yuan, Wang;  Chen, Yao;  Ke, Fan;  Chu, Xiaoli;  Chen, C. L. Philip
Favorite  |  View/Download:9/0  |  Submit date:2019/01/17
Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)  
Neural-dynamic optimization-based model predictive control for tracking and formation of nonholonomic multirobot systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 12,Page: 6113-6122
Authors:  Li Z.;  Yuan W.;  Chen Y.;  Ke F.;  Chu X.;  Chen C.L.P.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Formation control  multiple mobile robots  neural-dynamic optimization  nonlinear model predictive control (NMPC)  
Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Proceedings - International Conference on Machine Learning and Cybernetics
Authors:  Zhao L.;  Shang Z.;  Qin A.;  Tang Y.Y.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/11
Annealing algorithm  Gaussian mixture model  parameter estimation  tsallis-DAVBEM  variational bayes EM  
Adaptive Critic Design for Pure-Feedback Discrete-Time MIMO Systems Preceded by Unknown Backlashlike Hysteresis Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 11,Page: 5681-5690
Authors:  Tang, Li;  Liu, Yan-Jun;  Chen, C. L. Philip
Favorite  |  View/Download:3/0  |  Submit date:2019/01/17
Adaptive critic design (ACD)  backlashlike hysteresis  neural networks (NNs)  nonlinear pure-feedback systems  optimal control  
Kestrel-Based Search Algorithm (KSA) for parameter tuning unto Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets Conference paper
Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018
Authors:  Azbehadji I.E.;  Millham R.;  Fong S.J.;  Yang H.
Favorite  |  View/Download:9/0  |  Submit date:2019/02/13
Deep learning  Kestrel-based search algorithm  Long short term memory network  Random encircling  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View  |  Adobe PDF(984Kb)  |  Favorite  |  View/Download:621/47  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)