Application of BP Artificial Neural Networks in Modelling Energy Obtained by Wave Energy System

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. Artificial 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 to be correct and make basis on future research.

关键词： Wave energy Inertial pendulum Capture width ratio Energy absorption efficiency BP network with learning rate adaptation

作者: Zhang Ying Li Mengxin Dong Zaili

作者单位: Information & Control Engineering Faculty Shenyang Jianzhu University Shenyang,110168,China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2674-2678

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）