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出处:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:
Qi, Xingqun
;
Sun, Muyi
;
Wang, Zijian
;
Liu, Jiaming
;
Li, Qi
;
Zhao, Fang
;
Zhang, Shanghang
;
Shan, Caifeng
Adobe PDF(6718Kb)
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浏览/下载:43/17
  |  
提交时间:2024/02/22
Face photo-sketch synthesis
generative adversarial network
graph representation learning
intraclass and interclass
iterative cycle training (ICT)
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
Adobe PDF(4570Kb)
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浏览/下载:198/57
  |  
提交时间:2022/12/27
Decoding
Brain modeling
Functional magnetic resonance imaging
Predictive models
Emotion recognition
Dimensionality reduction
Pattern recognition
Fine-grained emotion decoding
multi-label learning
multi-view learning
product of experts (PoEs)
variational autoencoder
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 1-12
作者:
Ma L(马亮)
;
Zhang Y(张瑜)
;
Zhang HT(张瀚天)
;
Cheng LQ(程禄祺)
;
Yang ZY(杨正宜)
;
Lu YH(陆玉恒)
;
Shi WY(时维阳)
;
Li W(李雯)
;
Zhuo JJ(卓俊杰)
;
Wang JJ(王娇健)
;
Fan LZ(樊令仲)
;
Jiang TZ(蒋田仔)
Adobe PDF(16100Kb)
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浏览/下载:166/34
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提交时间:2023/01/04
anatomical connectivity fingerprints
heritability
individualized brain atlas
graph neural network
topography variability
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:231/36
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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
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Wang, Ding
;
Ha, Mingming
;
Cheng, Long
收藏
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浏览/下载:192/0
  |  
提交时间:2022/01/27
Trajectory
Heuristic algorithms
Convergence
Trajectory tracking
Stability criteria
Optimal control
Dynamic programming
Adaptive critic design
discrete-time nonlinear plants
neuro-optimal trajectory tracking
uniformly ultimately bounded stability
value iteration
UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Chai, Jiajun
;
Li, Weifan
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Ma, Zhe
;
Sun, Kewu
;
Ding, Jishiyu
Adobe PDF(3402Kb)
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浏览/下载:194/21
  |  
提交时间:2022/01/27
Multi-agent systems
Training
Task analysis
Reinforcement learning
Sun
Learning systems
Semantics
Centralized training with decentralized execution (CTDE)
multiagent
reinforcement learning
StarCraft II
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:
Wei, Qinglai
;
Wang, Lingxiao
;
Liu, Yu
;
Polycarpou, Marios M.
Adobe PDF(4019Kb)
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浏览/下载:260/70
  |  
提交时间:2021/03/08
Elevators
Optimal control
Backpropagation
Machine learning
Neural networks
Learning (artificial intelligence)
Actor
–critic
adaptive dynamic programming
deep learning (DL)
elevator group control (EGC)
optimal control
reinforcement learning (RL)
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:
Li, Haoran
;
Zhang, Qichao
;
Zhao, Dongbin
浏览
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Adobe PDF(4274Kb)
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浏览/下载:310/107
  |  
提交时间:2020/08/03
Robot sensing systems
Navigation
Entropy
Neural networks
Task analysis
Planning
Automatic exploration
deep reinforcement learning (DRL)
optimal decision
partial observation
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 32, 期号: 0, 页码: 0
作者:
Ruan, Xiaofeng
;
Liu, Yufan
;
Yuan, Chunfeng
;
Li, Bing
;
Hu, Weiming
;
Li, Yangxi
;
Maybank, Stephen
Adobe PDF(3625Kb)
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浏览/下载:241/41
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:
Liu, Yan-Jun
;
Li, Shu
;
Tong, Shaocheng
;
Chen, C. L. Philip
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浏览/下载:253/0
  |  
提交时间:2019/07/12
Discrete-time systems
neural networks (NNs)
nonlinear systems
optimal control
reinforcement learning