中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共9条，第1-9条 帮助

限定条件                    
已选(0)清除 条数/页：   排序方式：
Emotional brain network decoded by biological spiking neural network 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 17
作者:  Xu, Hubo;  Cao, Kexin;  Chen, Hongguang;  Abudusalamu, Awuti;  Wu, Wei;  Xue, Yanxue
收藏  |  浏览/下载：41/0  |  提交时间：2023/11/17
emotion  affective computing  brain network  neural oscillation  neuroregulation  self-backpropagation  spiking neural network  brain-computer interface  
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis 期刊论文
NEUROCOMPUTING, 2023, 卷号: 559, 页码: 13
作者:  Zhang, Chang;  Meng, Xiangzhu;  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Ning, Huansheng
收藏  |  浏览/下载：100/0  |  提交时间：2023/11/16
Functional magnetic resonance image  Brain network  Federated learning  Deep neural networks  Brain disease diagnosis  
Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17
作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao;  Gao, Rui;  Yang, Zhifei
Adobe PDF(13070Kb)  |  收藏  |  浏览/下载：346/82  |  提交时间：2022/09/19
Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior  
Tracking of Uncertain Robotic Manipulators Using Event-Triggered Model Predictive Control With Learning Terminal Cost 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 15
作者:  Kang, Erlong;  Qiao, Hong;  Chen, Ziyu;  Gao, Jie
Adobe PDF(4203Kb)  |  收藏  |  浏览/下载：422/155  |  提交时间：2022/06/06
Model predictive control  robotic manipulator  leaning terminal cost  neural networks  event-triggered mechanism  unknown dynamics  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载：239/10  |  提交时间：2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement  
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing
Adobe PDF(942Kb)  |  收藏  |  浏览/下载：359/69  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints  
Continuous-Time Time-Varying Policy Iteration 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 12, 页码: 4958-4971
作者:  Wei, Qinglai;  Liao, Zehua;  Yang, Zhanyu;  Li, Benkai;  Liu, Derong
Adobe PDF(3149Kb)  |  收藏  |  浏览/下载：271/50  |  提交时间：2021/03/02
Optimal control  Nonlinear systems  Time-varying systems  Mathematical model  Dynamic programming  Approximation algorithms  Iterative algorithms  Adaptive critic designs  adaptive dynamic programming (ADP)  neuro-dynamic programming  nonlinear systems  optimal control  policy iteration  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：264/89  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning  
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：335/76  |  提交时间：2018/10/09
Biologically inspired model  object recognition  semantic learning  structural learning