A PROTOTYPE NEURAL-NETWORK SUPERVISED CONTROL-SYSTEM FOR BACILLUS-THURINGIENSIS FERMENTATIONS

被引：49

作者：

ZHANG, Q ^{[1
]}

REID, JF ^{[1
]}

LITCHFIELD, JB ^{[1
]}

REN, JL ^{[1
]}

CHANG, SW ^{[1
]}

机构：

[1] UNIV ILLINOIS, DEPT AGR ECON, URBANA, IL 61801 USA

来源：

BIOTECHNOLOGY AND BIOENGINEERING | 1994年 / 43卷 / 06期

关键词：

MICROBIAL FERMENTATION CONTROL; NEURAL NETWORK SIMULATION; BACKPROPAGATION; NETWORK TOPOLOGY; DESIGN; FERMENTATION;

D O I：

10.1002/bit.260430608

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

This article discusses the development of a prototype neural network-based supervisory control system for Bacillus thuringiensis fermentations. The input pattern to the neural network included the type of inoculum, operation temperature, pH value, accumulated process time, optical density in fermentation medium, and change in optical density. The output from the neural network was the predicted optical density for the next sampling time. The control system has been implemented in both a computer simulation and a laboratory fermentation experiment with promising results. (C) 1994 John Wiley and Sons, Inc.

引用

页码：483 / 489

页数：7