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浏览/检索结果:
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发表日期:2022
语种:英语
资助机构:National Key Research and Development Program of China
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Motion Learning and Rapid Generalization for Musculoskeletal Systems Based on Recurrent Neural Network Modulated by Initial States
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 4, 页码: 1691-1704
作者:
Wang, Xiaona
;
Chen, Jiahao
;
Qiao, Hong
Adobe PDF(2080Kb)
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浏览/下载:160/19
  |  
提交时间:2023/03/20
Muscles
Recurrent neural networks
Mathematical models
Bio-inspired control
Robot kinematics
Tendons
Musculoskeletal system
Biologically inspired control
motor cortex
movement preparation
musculoskeletal system
recurrent neural network (RNN)
A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Wei, Qinglai
;
Li, Hongyang
;
Li, Tao
;
Wang, Fei-Yue
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浏览/下载:224/0
  |  
提交时间:2023/02/22
Fault tolerant systems
Fault tolerance
Linear systems
Control systems
Actuators
Optimal control
Mathematical models
Distributed policy iteration
fault-tolerant control
multicontroller linear systems
optimal control
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 53, 期号: 4, 页码: 2062-2072
作者:
Zhao, Chen
;
Dai, Xingyuan
;
Lv, Yisheng
;
Niu, Jinglong
;
Lin, Yilun
Adobe PDF(1921Kb)
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浏览/下载:288/6
  |  
提交时间:2023/02/22
Intelligent Transportation Systems (ITS)
Artificial Systems, Computational Experiments, Parallel Execution (ACP)
Cyber–Physical–Social Systems (CPSS)
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:
Wei, Qinglai
;
Yan, Yutian
;
Zhang, Jie
;
Xiao, Jun
;
Wang, Cong
收藏
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浏览/下载:248/0
  |  
提交时间:2023/01/09
Automated guided vehicle (AGV) dispatching
deep learning
reinforcement learning (RL)
self-attention
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:
Ouyang, Liwei
;
Yuan, Yong
;
Wang, Fei-Yue
Adobe PDF(2684Kb)
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浏览/下载:508/48
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提交时间:2022/09/19
Collaboration
Artificial intelligence
Data models
Computational modeling
Smart contracts
Blockchain
Distributed databases
Artificial intelligence (AI) collaboration
blockchain
ensemble learning
federated learning (FL)
smart contracts
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection
期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:
Xu, Nuo
;
Huo, Chunlei
;
Zhang, Xin
;
Pan, Chunhong
Adobe PDF(2664Kb)
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浏览/下载:351/67
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提交时间:2022/09/19
Object detection
Active object detection
Deep reinforcement learning
Convolutional neural networks
Hierarchical Multihop Reasoning on Knowledge Graphs
期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 1, 页码: 71-78
作者:
Wang, Zikang
;
Li, Linjing
;
Zeng, Daniel Dajun
Adobe PDF(1656Kb)
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浏览/下载:385/87
  |  
提交时间:2022/07/25
An Efficient Sampling-Based Attention Network for Semantic Segmentation
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2850-2863
作者:
He, Xingjian
;
Liu, Jing
;
Wang, Weining
;
Lu, Hanqing
Adobe PDF(3252Kb)
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浏览/下载:398/80
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提交时间:2022/06/10
Stochastic processes
Sampling methods
Semantics
Image segmentation
Computational complexity
Pattern recognition
Convolution
Semantic segmentation
stochastic sampling-based attention
deterministic sampling-based attention
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2838Kb)
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浏览/下载:250/12
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Zhen
;
Yi, Jianqiang
;
Wu, Shiguang
Adobe PDF(2967Kb)
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浏览/下载:362/56
  |  
提交时间:2022/06/06
Training
Reinforcement learning
Games
Scalability
Task analysis
Standards
Optimization
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems