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Modeling of Wave Energy Absorption Based on BP Neural Network for Underwater Vehicles
Zhang Y(张颖); Dong ZL(董再励); Wu CD(吴成东)
作者部门机器人学研究室
会议名称7th World Congress on Intelligent Control and Automation
会议日期June 25-27, 2008
会议地点Chongqing, China
会议主办者Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn
会议录名称2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
出版者IEEE
出版地NEW YORK
2008
页码2225-2229
收录类别EI ; CPCI(ISTP)
EI收录号20083911599733
WOS记录号WOS:000259965701197
产权排序1
ISBN号978-1-4244-2113-8
关键词Wave Energy Inertial Pendulum Capture Width Ratio Energy Absorption Efficiency Bp Network With Learning Rate Adaptation
摘要As one of the renewable energy, the absorption and utilization of wave energy is always an important research field home and abroad, and energy absorption efficiency is the key. A wave energy absorption system based on inertial pendulum is presented, and dynamics equations are established. Neural network with learning rate adaptation is adopted to model in time domain. The results obtained by simulation software and by BP neural network are compared, which validate the method used are correct and make basis on future research.
语种英语
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被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/8785
专题机器人学研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province, China
2.Institute of Artificial Intelligence and Robotics, Northeastern University, Shenyang, Liaoning Province, China
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GB/T 7714
Zhang Y,Dong ZL,Wu CD. Modeling of Wave Energy Absorption Based on BP Neural Network for Underwater Vehicles[C]//Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn. NEW YORK:IEEE,2008:2225-2229.
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