Application In Process Control By Wavelet Neural Network

Wavelet neural networks are a class of neural networks consisting of wavelets. Neural networks show good ability of self-adaption and self-learning, and is widely applied in non-linear black-box modeling and system identification. Because of the time frequency location characteristic and multiscale ability of wavelet transformation and muliresolution analysis, wavelet is used as the basic of the basis neural networks, that is wavelet neural networks.This paper not only presents a novel universal tool for wavelet neural network, but also improve it, We have denoised the data which comes from the field and used PCA to decorrelate the variables by ex-tracting a linear relationship. Then we constitute the model of WNN. At last the computer simulation results show that the method is practical. Main research work is as following: 1 , Pre-processing the measurements from industry...