A method for fermentation process monitoring via nonlinear PCA

被引：0
|
作者：
Qu, HB [1 ]
Wang, SQ [1 ]
机构：
[1] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou 310027, Peoples R China
来源：
COMPUTER APPLICATIONS IN BIOTECHNOLOGY 1998: HORIZON OF BIOPROCESS SYSTEMS ENGINEERING IN 21ST CENTURY | 1998年
关键词：
fermentation process monitoring; nonlinear PCA; neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A nonlinear PCA method based on an autoassociative network and input training is presented. The demapping subnet of the autoassociative network is trained by input training method. During tranining the whole network the weights are keeped and biases of the demapping subnet unadjusted. The results show this nonlinear PCA method is a good tool to analyze batch process data. Copyright (C) 1998 IFAC.
引用
收藏
页码：259 / 263
页数：5
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