Intelligent software analyzer design for biotechnological processes

被引：0

作者：

Vassileva, Svetla ^{[1
]}

Mileva, Silvia ^{[2
]}

机构：

[1] Bulgarian Acad Sci, Dept Knowledge Based Control Syst, Inst Control & Syst Res, Str Akad G Bonchev,Bl 2,POB 79, BU-1113 Sofia, Bulgaria

[2] Inst Criobol & Food Technol, Sofia 1407, Bulgaria

来源：

PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON NEURAL NETWORKS (NN' 08): ADVANCED TOPICS ON NEURAL NETWORKS | 2008年

关键词：

intelligent software analyzers; intercellular metabolites; ergosterol; glycogen; beer brewing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work presents a technology of artificial intelligence methods-based software analyzers design for biotechnological processes. The design of intelligent software analyzers of two hard-to measure intercellular metabolites, important in the early stage of brewing fermentation - ergosterol and glycogen, is demonstrated by implementing ANFIS and compare it with the artificial neural networks (ANN)-training techniques of Levenberg-Marquardt and Radial Basis Functions-NN (RBFNN). The application of intelligent software analyzers in modem control technologies is discussed.

引用

页码：142 / +

页数：3

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