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浏览/检索结果:
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Synergetic learning for unknown nonlinear
H.
control using neural networks
期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299
作者:
Zhu, Liao
;
Guo, Ping
;
Wei, Qinglai
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2023/12/21
H. control
Nonlinear systems
Adaptive dynamic programming
Temporal difference
Neural network
Data-driven
BViT: Broad Attention-Based Vision Transformer
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2023, 页码: 1 - 12
作者:
Nannan Li
;
Yaran Chen
;
Weifan Li
;
Zixiang Ding
;
Dongbin Zhao
;
Shuai Nie
Adobe PDF(2171Kb)
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浏览/下载:172/47
  |  
提交时间:2023/06/27
Broad attention
broad connection
image classification
parameter-free attention
vision transformer
The Development of AgriVerse: Past, Present, and Future
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:
Kang, Mengzhen
;
Wang, Xiujuan
;
Wang, Haoyu
;
Hua, Jing
;
de Reffye, Philippe
;
Wang, Fei-Yue
Adobe PDF(4290Kb)
  |  
收藏
  |  
浏览/下载:262/70
  |  
提交时间:2023/02/22
Computational modeling
Biological systems
Biomass
Biological system modeling
Production
Plants (biology)
Metaverse
Agricultural metaverse (AgriVerse)
agriculture cyber-physical-social system (CPSS)
artificial systems
computational experiments
and parallel execution (ACP)
decentralized science (DeSci)
knowledge-and-data driven modeling
parallel agriculture
plant model
Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition
期刊论文
IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 5, 期号: 1, 页码: 5 - 15
作者:
Zhentao Tang
;
Yuanheng Zhu
;
Dongbin Zhao
;
Simon M. Lucas
Adobe PDF(7686Kb)
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浏览/下载:216/60
  |  
提交时间:2021/07/05
Rolling horizon evolution
opponent model
reinforcement learning
supervised learning
fighting game
Automatic Curriculum Learning for Large-Scale Cooperative Multiagent Systems
期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 卷号: 7, 期号: 3, 页码: 912-930
作者:
Zhang TL(张天乐)
;
Liu Z(刘振)
;
Pu ZQ(蒲志强)
;
Yi JQ(易建强)
Adobe PDF(4728Kb)
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收藏
  |  
浏览/下载:241/78
  |  
提交时间:2023/06/02
Multi-modal spatio-temporal meteorological forecasting with deep neural network
期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:
Xinbang Zhang
;
Qizhao Jin
;
Tingzhao Yu
;
Shiming Xiang
;
Qiuming Kuang
;
Véronique Prinet
;
Chunhong Pan
Adobe PDF(3735Kb)
  |  
收藏
  |  
浏览/下载:279/67
  |  
提交时间:2022/07/01
Meterological forecasting
Deep learning
Neural architecture search
AutoML
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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收藏
  |  
浏览/下载:289/41
  |  
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
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L-1 Loss
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 762-773
作者:
Chen, Yaran
;
Li, Haoran
;
Gao, Ruiyuan
;
Zhao, Dongbin
Adobe PDF(2082Kb)
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浏览/下载:221/43
  |  
提交时间:2022/03/17
3-D object detection
generalized Intersection of Union (GIoU) loss
segmentation
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search
期刊论文
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:
Zixiang, Ding
;
Yaran, Chen
;
Nannan, Li
;
Dongbin, Zhao
Adobe PDF(7657Kb)
  |  
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  |  
浏览/下载:180/43
  |  
提交时间:2022/01/07
Broad neural architecture search (BNAS), continuous relaxation, confident learning rate, partial channel connections, image classification.
Attention enhanced reinforcement learning for multi-agent cooperation
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15
作者:
Zhiqiang Pu
;
Huimu Wang
;
Zhen Liu
;
Jianqiang Yi
;
Shiguang Wu
Adobe PDF(2967Kb)
  |  
收藏
  |  
浏览/下载:203/37
  |  
提交时间:2022/04/02
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems