Slope displacement forecast based on wavelet neural network
Pan Ping · Journal of Chengdu University of Technology · 2006
This paper studies the chaotic time series of the slope displacement forecast.Using the theory of reconstructing phase space in the chaotic time series.It puts forth a method of the slope displacement forecast based on the wavelet neural network.The calculated results show that compared with the other method this method can avoid the local minimal error margin curved face and the network node little,the parameter is more easy to determine,the study efficiency is high,the convergent speed is quick,the oneself adaptability is strong,and the computation accuracy is very high etc.This method offers a viable and new way for the slope displacement forecast.