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浏览/检索结果:
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A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator
期刊论文
EARTH AND SPACE SCIENCE, 2024, 卷号: 11, 期号: 3, 页码: 13
作者:
Chen, Yanglong
;
Ouyang, Chaojun
;
Xu, Qingsong
;
Yang, Weibin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/19
deep learning
landslide
dynamic process
Fourier neural operator
data-driven method
Reinforcement Learning in Process Industries: Review and Perspective
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300
作者:
Oguzhan Dogru
;
Junyao Xie
;
Om Prakash
;
Ranjith Chiplunkar
;
Jansen Soesanto
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/01/23
Process control
process systems engineering
reinforcement learning
Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995
作者:
Tao Wang
;
Qiming Chen
;
Xun Lang
;
Lei Xie
;
Peng Li
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/03/18
Convolutional neural networks (CNNs)
deep learning
image processing
oscillation detection
process industries
Discovery of PDEs driven by data with sharp gradient or discontinuity
期刊论文
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2023, 卷号: 140, 页码: 33-43
作者:
Wang, Kang
;
Zhang L(张磊)
;
Tang, Shaoqiang
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  |  
浏览/下载:16/0
  |  
提交时间:2023/06/15
System identification
Partial differential equations
Gaussian process
Discontinuous data
Machine learning
Machine learning versus crop growth models: an ally, not a rival
期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:
Zhang, Ningyi
;
Zhou, Xiaohan
;
Kang, Mengzhen
;
Hu, Bao-Gang
;
Heuvelink, Ep
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  |  
浏览/下载:8/0
  |  
提交时间:2023/11/17
Knowledge
and data-driven modelling
Machine learning
Process-based models
yield prediction
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:
Wai-Chung Kwan, Hong-Ru Wang, Hui-Min Wang, Kam-Fai Wong
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  |  
浏览/下载:8/0
  |  
提交时间:2023/05/29
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:
Wai-Chung Kwan
;
Hong-Ru Wang
;
Hui-Min Wang
;
Kam-Fai Wong
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/04/23
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process
Network-Wide Traffic Signal Control Based on MARL With Hierarchical Nash-Stackelberg Game Model
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 145085-145100
作者:
Shen, Hui
;
Zhao, Hongxia
;
Zhang, Zundong
;
Yang, Xun
;
Song, Yutong
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  |  
浏览/下载:3/0
  |  
提交时间:2024/02/22
Games
Roads
Approximation algorithms
Q-learning
Multi-agent systems
Process control
Optimization
Reinforcement learning
Traffic control
Network-wide traffic signal control
hierarchical game model
multi-agent reinforcement learning
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Lin, Xixun
;
Li, Zhao
;
Zhang, Peng
;
Liu, Luchen
;
Zhou, Chuan
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/02/07
Task analysis
Kernel
Training
Decoding
Stochastic processes
Predictive models
Computational modeling
Few-shot learning
graph classification
graph neural networks (GNNs)
neural process (NP)
Price-Based Residential Demand Response Management in Smart Grids: A Reinforcement Learning-Based Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 123-134
作者:
Yanni Wan
;
Jiahu Qin
;
Xinghuo Yu
;
Tao Yang
;
Yu Kang
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2021/11/03
Demand response management (DRM)
Markovian decision process (MDP)
Monte Carlo simulation
reinforcement learning (RL)
smart grid
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