]*>","")" /> 基于非线性PLS小波基神经网络的动态过程监测

CIESC Journal

• 化工学报 • 上一篇    下一篇

基于非线性PLS小波基神经网络的动态过程监测

赵众,蒋慰孙,顾幸生   

  1. 华东理工大学自动化研究所!上海20037,华东理工大学自动化研究所!上海20037,华东理工大学自动化研究所!上海20037
  • 出版日期:1998-06-25 发布日期:1998-06-25

DYNAMIC PROCESS MONITORING BASED ON WAVELET FUNCTION BASED NEURAL NETWORK WITH NONLINEAR PLS

Zhao Zhong;Jiang Weisun;Gu Xingsheng(Research Institute of Automatic Control,ECUST,Shanghai 20037)   

  • Online:1998-06-25 Published:1998-06-25

Abstract: Based on the analysis of wavelet transform and PLS,a new type of neural network:wavelet function based neural network with nonlinear PLS has been proposed and applied to dynamic process monitoring.According to the complicated properties of the noise in the real process,a filter algorithm using orthonomal discrete wavelet transform has been proposed.The theoretical analysis and application results have shown that the algorithms are feasible and effective.

中图分类号: