基于非线性PLS小波基神经网络的动态过程监测

被引：2

作者：

赵众

蒋慰孙

顾幸生

机构：

[1] 华东理工大学自动化研究所!上海

来源：

化工学报 | 1998年 / 03期

关键词：

过程监测; 小波变换; 神经网络; 隐结构投影;

D O I：

暂无

中图分类号：

TQ02 [化工过程（物理过程及物理化学过程）];

学科分类号：

081701 ; 081704 ;

摘要：

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.

引用

页码：377 / 382

页数：6