Identification of a fed-batch fermentation process: comparison of computational and laboratory experiments

A. Cabrera; A. Poznyak; T. PoznyakJ. Aranda

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Identification of a fed-batch fermentation process: comparison of computational and laboratory experiments

机译：Identification of a fed-batch fermentation process: comparison of computational and laboratory experiments

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摘要

To identify a Saccharomyces cerevisiae fed-batch fermentation process, it is suggested that a differential (dynamic in continuous time) neural network (DNN) be implemented. A priori information on the dynamic equations and their parameters is not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (six neurons) is shown to have a high capability of identifying this process (to reproduce the input-output relation) after several working hours of learning.

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《Bioprocess and biosystems engineering》 |2002年第5期|319-327|共9页
作者
A. Cabrera; A. Poznyak; T. PoznyakJ. Aranda;
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作者单位

Unidad Profesional Interdisciplinaria de Biotecnologia-IPN, Av. Acueducto, s/n, C.P. 07340, Mexico, D.F.;

Centro de Investigacion y Estudios Avanzados-IPN, Av. Polit„

cnico 2508, Mexico, D.F.;

Escuela Superior de Ingenieria Quimica E Industrias Extractivas-IPN, UPALM, Edif. 8, Mexico, D.F.;

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正文语种英语
中图分类生物工程学（生物技术）;
关键词
differential neural networks; fed-batch fermentation; identification;

Identification of a fed-batch fermentation process: comparison of computational and laboratory experiments

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