Empirical Study on Structural Approximation Analysis of Neurabl Network for Blade of Wind Turbine

摘要：

　　Structural approximation analysis is important for optimization design of blade of wind turbine.Structural approximation analysis of neural network for blade of wind turbine is will be briefed at first.The empirical study on structural approximation analysis of neural network for blade of wind turbine will be performed in this paper.The influence of the patterns of performance of blade of wind turbine on the structural approximation analysis of neural network is investigated.The numerical experiments of different learning rates for constructing the model of neural network for structural approximation analysis of blade of wind turbine are made in this paper.The empirical study is helpful for reducing the expensive cost of optimization design of blade of wind turbine by structural approximation analysis of neural network.

关键词： blade of wind turbine structural approximation analysis neural network

作者: Lei Wang Jingui Lu Jiande Zhang Qi Hua

作者单位: CAD Center,Nanjing University of Technology,Nanjing 21000,P. R. China

会议类型: 国际会议

会议名称: The 9Th International Conference on Vibration Engineering and Technology of Machinery(第九届振动工程及机械科学技术国际会议)(VETOMAC-IX)

会议地点: 南京

会议语种:英文

页码: 1-4

在线出版日期: 2013-08-20（万方平台首次上网日期，不代表论文的发表时间）