A NOVEL FUZZY-NEURAL NETWORK FOR PREDICTION OF GLUTAMIC ACID PRODUCTION BY FED-BATCH FERMENTATION

元英进; 苗志奇; 秦家庆; 韩金玉; 甘一如

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A NOVEL FUZZY-NEURAL NETWORK FOR PREDICTION OF GLUTAMIC ACID PRODUCTION BY FED-BATCH FERMENTATION

更新时间：2025-12-16

- A NOVEL FUZZY-NEURAL NETWORK FOR PREDICTION OF GLUTAMIC ACID PRODUCTION BY FED-BATCH FERMENTATION
- CIESC Journal Issue 5, (1997)
- 作者机构：
  
  天津大学化工系,天津大学化工系,天津大学化工系,天津大学化工系,天津大学化工系天津 300072,天津 300072,天津 300072,天津 300072,天津,300072
- 作者简介：
- 基金信息：
- DOI：
  CLC： S264.2
- Online First：25 October 1997，
  
  Published：25 October 1997
- 稿件说明：
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元英进, 苗志奇, 秦家庆, et al. A NOVEL FUZZY-NEURAL NETWORK FOR PREDICTION OF GLUTAMIC ACID PRODUCTION BY FED-BATCH FERMENTATION[J]. CIESC Journal, 1997, (5).
DOI：

元英进, 苗志奇, 秦家庆, et al. A NOVEL FUZZY-NEURAL NETWORK FOR PREDICTION OF GLUTAMIC ACID PRODUCTION BY FED-BATCH FERMENTATION[J]. CIESC Journal, 1997, (5). DOI：

摘要

提出了一种子空间可调的模糊-神经网络(FNN)

通过采用新型的网络结构设计、模糊子空间均匀化设计和模糊子空间可调性设计

提高了网络的模拟、预测精度

明显缩短了训练时间.通过可调模糊-神经网络可以对系统进行预测、优化及因素分析

并将所提出的模糊神经网络应用于谷氨酸流加发酵过程的模拟与预测

取得了满意的结果.

Abstract

A novel fuzzy-neural network (FNN) was proposed in this paper. A new type of neural network construction incorporating fuzzy rules was formed

in which the fuzzy sub - space was designed by homogenized design and could be adjusted. The ability of the fuzzy-neural network to simulate and predict was improved

and the time for training was shortened correspondingly. The kind of network could be used to simulate or optimize bioprocesses. In this paper

the fuzzy-network was used to predict the glutamic acid production by fed - batch fermentation

which gave satisfactory results.

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