Methodology Research of Load Identification of Shock on Elman Neural Networks
In order to enhance the dynamic capability of the Elman neural network and effectively solve the problem in identifying advanced order system, the author improves the network structure and learning algorithm, and designs a new type of Elman neural network. Moreover, by means of the new network, a neural network load identification model is established yet, which is used to identify the load identification of shock. The experiment results show that the improved neural network model is of two advantages, such as an extremely fast speed of convergence and a relatively high accuracy. The investigation provides a new approach to load identification research and is of certainly practical value.
Load identification Elman neural networks Shock Identification model
Wanqing Yang
The Key Laboratory of Roadway Bridges and Structural Engineering of Hubei Wuhan University of Technology, Wuhan 430070, China
国际会议
南京
英文
570-573
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）