QQ客服 官方微博 反馈留言

浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13 作者:  Lu, Jingwei;  Wei, Qinglai;  Liu, Yujia;  Zhou, Tianmin;  Wang, Fei-Yue 收藏  |  浏览/下载：29/0  |  提交时间：2022/01/27 Nonlinear systems  Trajectory  Optimal control  Control systems  Mathematical model  Steady-state  Dynamic programming  Adaptive dynamic programming (ADP)  event-triggered  neural network (NN)  nonlinear optimal control  parallel control  parallel system  tracking control   Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122 作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi 收藏  |  浏览/下载：7/0  |  提交时间：2021/02/22 Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.   A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications 期刊论文 IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2018, 卷号: 53, 页码: 968-982 作者:  Yin, Shouyi;  Ouyang, Peng;  Tang, Shibin;  Tu, Fengbin;  Li, Xiudong 收藏  |  浏览/下载：16/0  |  提交时间：2019/12/30 Energy efficiency  hybrid neural networks (hybrid-NNs)  memory banking  reconfigurable computing  resource partitioning   A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications 会议论文 IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2018-04-01 作者:  Yin, Shouyi;  Ouyang, Peng;  Tang, Shibin;  Tu, Fengbin;  Li, Xiudong 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/30 Energy efficiency  hybrid neural networks (hybrid-NNs)  memory banking  reconfigurable computing  resource partitioning   Progressive Learning Machine: A New Approach for General Hybrid System Approximation 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2015, 卷号: Vol.26 No.9, 页码: 1855-1874 作者:  Yang, Y.;  Wang, Y.;  Jonathan Wu, Q.M.;  Lin, X.;  Liu, M. 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/31 Bidirectional  extreme  learning  machine  (B-ELM)  cluster  growing  algorithm  hybrid  system  approximation  Neural  networks  (NNs)   Progressive Learning Machine: A New Approach for General Hybrid System Approximation 期刊论文 Neural Networks and Learning Systems, IEEE Transactions on, 2015, 卷号: Vol.26 No.9, 页码: 1855-1874 作者:  Yang, YM;  Wang, YN;  Wu, QMJ;  Lin, XF;  Liu, M 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Bidirectional extreme learning machine (B-ELM)  cluster growing algorithm  hybrid system approximation  neural networks (NNs)