中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共107条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning 会议论文
2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015-12
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(619Kb)  |  收藏  |  浏览/下载：275/56  |  提交时间：2016/04/13
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载：740/283  |  提交时间：2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive Control  
Cross-OSN User Modeling by Homogeneous Behavior Quantification and Local Social Regularization 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 12, 页码: 2259-2270
作者:  Sang, Jitao;  Deng, Zhengyu;  Lu, Dongyuan;  Xu, Changsheng
Adobe PDF(2027Kb)  |  收藏  |  浏览/下载：366/101  |  提交时间：2016/01/18
Behavior Fusion  Cross-osn User Modeling  Local Social Regularization  Personalization  Video Recommendation  
A Security and Privacy Review of VANETs 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 6, 页码: 2985-2996
作者:  Qu, Fengzhong;  Wu, Zhihui;  Wang, Fei-Yue;  Cho, Woong
浏览  |  Adobe PDF(1031Kb)  |  收藏  |  浏览/下载：540/233  |  提交时间：2016/01/18
Vanets  Security  Privacy  Survey  
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 卷号: 45, 期号: 12, 页码: 1577-1591
作者:  Liu, Derong;  Wei, Qinglai;  Yan, Pengfei
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：224/68  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Generalized Policy Iteration  Neural Networks  Neuro-dynamic Programming  Nonlinear Systems  Optimal Control  Reinforcement Learning  
A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2015, 卷号: 58, 期号: 12, 页码: 122203:1–122203:15
作者:  Wei QingLai;  Liu DeRong;  Derong Liu
浏览  |  Adobe PDF(1215Kb)  |  收藏  |  浏览/下载：297/122  |  提交时间：2016/03/19
Adaptive Critic Designs  Adaptive Dynamic Programming  Approximate Dynamic Programming  Q-learning  Policy Iteration  Neural Networks  Nonlinear Systems  Optimal Control  
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems 期刊论文
COGNITIVE COMPUTATION, 2015, 卷号: 7, 期号: 6, 页码: 763-771
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo;  Ji, Junhong
Adobe PDF(809Kb)  |  收藏  |  浏览/下载：245/38  |  提交时间：2016/01/18
Approximate Policy Iteration  Approximation Error  Optimal Control  Fuzzy Approximator  
A Basal Ganglia Network Centric Autonomous Learning Model and Its Application in Unmanned Aerial Vehicle 会议论文
Conferences on the 7th International Conference on Brain-inspired Cognitive System, 安徽合肥, 2015年12月11-13日
作者:  Yi, Zeng;  Guixiang, Wang;  Bo, Xu;  Yi Zeng
Microsoft Word(6365Kb)  |  收藏  |  浏览/下载：487/138  |  提交时间：2016/12/09
Autonomous Learning Model  Basal Ganglia Network  Precise Encoding  Uav Autonomous Learning  Reinforcement Learning  Interactive Environment.  
Automatic segmentation of the lateral geniculate nucleus: Application to control and glaucoma patients 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2015, 卷号: 255, 期号: 2015, 页码: 104-114
作者:  Wang, Jieqiong;  Miao, Wen;  Li, Jing;  Li, Meng;  Zhen, Zonglei;  Sabel, Bernhard;  Xian, Junfang;  He, Huiguang
浏览  |  Adobe PDF(2097Kb)  |  收藏  |  浏览/下载：302/39  |  提交时间：2016/01/18
Automatic Segmentation  Lgn  Structural Mri  Vision  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载：619/237  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks