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检索条件"主题词=Q-Learning algorithm"
197 条 记 录,以下是181-190 订阅
排序:
A novel axle temperature forecasting method based on decomposition, reinforcement learning optimization and neural network
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ADVANCED ENGINEERING INFORMATICS 2020年 44卷 101089-101089页
作者: Liu, Hui Yu, Chengming Yu, Chengqing Chen, Chao Wu, Haiping Cent South Univ Sch Traff & Transportat Engn Inst Artificial Intelligence & Robot IAIR Key Lab Traff Safety TrackMinist Educ Changsha 410075 Hunan Peoples R China
Axle temperature forecasting technology is important for monitoring the status of the train bogie and preventing the hot axle and other dangerous accidents. In order to achieve high-precision forecasting of axle tempe... 详细信息
来源: 评论
Battery energy storage control using a reinforcement learning approach with cyclic time-dependent Markov process
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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2022年 134卷 107368-107368页
作者: Abedi, Sara Yoon, Sang Won Kwon, Soongeol Binghamton Univ Dept Syst Sci & Ind Engn 4400 Vestal Pkwy E Binghamton NY 13902 USA
Scheduling efficient energy management system operations to respond to the unstable customer demand, electricity prices, and weather increases the complexity of the control systems and requires a flexible and costeffe... 详细信息
来源: 评论
A teaching-learning-based optimization algorithm with reinforcement learning to address wind farm layout optimization problem
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APPLIED SOFT COMPUTING 2024年 151卷
作者: Yu, Xiaobing Zhang, Wen Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteorol Nanjing 210044 Peoples R China Nanjing Univ Informat Sci & Technol Sch Management Sci & Engn Nanjing 210044 Peoples R China Nanjing Univ Informat Sci & Technol Res Inst Risk Governance & Emergency Decis Making Sch Management Sci & Engn Nanjing 210044 Peoples R China
As the global demand for renewable energy continues to rise, wind energy has received widespread attention as an eco-friendly energy source. Wind power generation is regarded as one of the key means to reduce carbon e... 详细信息
来源: 评论
Comparative Study of Reinforcement learning algorithms to solve Reconfigurable Facilities Layout Problem
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IFAC-PapersOnLine 2024年 第19期58卷 55-60页
作者: Amine Chiboub Julien Francois Thècle Alix Rémy Dupas IMS Univ. Bordeaux CNRS Bordeaux INP IMS UMR 5218 F-33400 Talence France I2M Univ. Bordeaux CNRS Bordeaux INP I2M UMR 5295 F-33400 Talence France
Facilities Layout Problems (FLPs) aim to efficiently allocate facilities within a given space, considering various constraints such as minimizing transportation distances. These problems are commonly encountered in va... 详细信息
来源: 评论
Reinforcement learning-Based Control for Resilient Community Microgrid Applications
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Journal of Power and Energy Engineering 2022年 第9期10卷 1-13页
作者: Md Mahmudul Hasan Ishtiaque Zaman Miao He Michael Giesselmann Electrical and Computer Engineering Texas Tech University Lubbock USA
A novel microgrid control strategy is presented in this paper. A resilient community microgrid model, which is equipped with solar PV generation and electric vehicles (EVs) and an improved inverter control system, is ... 详细信息
来源: 评论
Timber Harvest Planning Using Reinforcement learning: A Feasibility Study
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FORESTS 2024年 第10期15卷 1725页
作者: Ji, Hyo-Vin Han, Sang-Kyun Park, Jin-Woo Kangwon Natl Univ Coll Forest & Environm Sci Div Forest Sci Chunchon 24341 South Korea
This study developed a forest management plan model using reinforcement learning (q-learning) to optimize both the economic and ecological functions of forests. Management objectives for national forests were establis... 详细信息
来源: 评论
Bilayer game strategy of regional integrated energy system under multi-agent incomplete information
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JOURNAL OF ENGINEERING-JOE 2019年 第16期2019卷 1285-1291页
作者: Hao, Ran Ai, qian Jiang, Ziqing Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China
In view of the high coupling degree of regional integrated energy system, a bilayer interaction strategy, consisting of energy suppliers, distribution networks, and users, is proposed. Game interaction strategy includ... 详细信息
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Cognitive Radio Jamming Mitigation using Markov Decision Process and Reinforcement learning
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Procedia Computer Science 2015年 73卷 199-208页
作者: Feten Slimeni Bart Scheers Zied Chtourou Vincent Le Nir Rabah Attia VRIT Lab - Military Academy of Tunisia Nabeul 8000 Tunisia CISS Departement - Royal Military Academy (RMA) Brussels 1000 Belgium SERCOM Lab - EPT University of Carthage Marsa 2078 Tunisia
The Cognitive radio technology is a promising solution to the imbalance between scarcity and under utilization of the spectrum. However, this technology is susceptible to both classical and advanced jamming attacks wh... 详细信息
来源: 评论
learning mechanism of automated negotiation in E-commerce
Learning mechanism of automated negotiation in E-commerce
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6th World Congress on Intelligent Control and Automation
作者: He, Bo Chen, Yuan Huang, Xianying Yang, Wu Chongqing Inst Technol Dept Comp Sci & Engn Chongqing 400050 Peoples R China
Aiming at the shortcoming of current automated negotiation systems, this paper applied machine learning to bilateral automated negotiation. It mainly researched learning mechanism of automated negotiation in e-commerc... 详细信息
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The Multimodal Emotion Information Analysis of E-Commerce Online Pricing in Electronic Word of Mouth
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JOURNAL OF GLOBAL INFORMATION MANAGEMENT 2022年 第11期30卷 1页
作者: Chen, Jinyu Zhong, Ziqi Feng, qindi Liu, Lei Southwest Univ Sci & Technol Mianyang Peoples R China London Sch Econ & Polit Sci London England Gachon Univ Seongnam South Korea Chuzhou Univ Chuzhou Peoples R China
E-commerce has developed rapidly, and product promotion refers to how e-commerce promotes consumers' consumption activities. The demand and computational complexity in the decisionmaking process are urgent problem... 详细信息
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