Some experiments on identification of a fed-batch culture via differential neural networks

A. Cabrera; A. Poznyak; T. Poznyak; J. Aranda

Some experiments on identification of a fed-batch culture via differential neural networks

A. Cabrera, A. Poznyak, T. Poznyak, J. Aranda

Research output: Contribution to conference › Paper › peer-review

Abstract

To identify Saccharomyces cereviseae fed-batch fermentation process, a Differential (Dynamic in Continuous Time) Neural Network (DNN) is suggested to be implemented. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning.

Original language	English
Pages	152-156
Number of pages	5
State	Published - 2001
Event	Proceedings of the 2001 IEEE International Conference on Control Applications CCA '01 - Mexico City, Mexico Duration: 5 Sep 2001 → 7 Sep 2001

Conference

Conference	Proceedings of the 2001 IEEE International Conference on Control Applications CCA '01
Country/Territory	Mexico
City	Mexico City
Period	5/09/01 → 7/09/01

Keywords

Differential neural network
Fed-batch fermentation
State estimation

Cite this

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title = "Some experiments on identification of a fed-batch culture via differential neural networks",

abstract = "To identify Saccharomyces cereviseae fed-batch fermentation process, a Differential (Dynamic in Continuous Time) Neural Network (DNN) is suggested to be implemented. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning.",

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author = "A. Cabrera and A. Poznyak and T. Poznyak and J. Aranda",

year = "2001",

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pages = "152--156",

note = "Proceedings of the 2001 IEEE International Conference on Control Applications CCA '01 ; Conference date: 05-09-2001 Through 07-09-2001",

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TY - CONF

T1 - Some experiments on identification of a fed-batch culture via differential neural networks

AU - Cabrera, A.

AU - Poznyak, A.

AU - Poznyak, T.

AU - Aranda, J.

PY - 2001

Y1 - 2001

N2 - To identify Saccharomyces cereviseae fed-batch fermentation process, a Differential (Dynamic in Continuous Time) Neural Network (DNN) is suggested to be implemented. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning.

AB - To identify Saccharomyces cereviseae fed-batch fermentation process, a Differential (Dynamic in Continuous Time) Neural Network (DNN) is suggested to be implemented. A priory information on the dynamic equations as well as on their parameters are not required to realize this approach. Based on real data, obtained from laboratory experiments, this DNN of a simple structure (6 neurons) is shown to have a high capability to identify (to estimate the states) this process after several working hours of learning.

KW - Differential neural network

KW - Fed-batch fermentation

KW - State estimation

UR - http://www.scopus.com/inward/record.url?scp=0035694689&partnerID=8YFLogxK

M3 - Artículo

SP - 152

EP - 156

T2 - Proceedings of the 2001 IEEE International Conference on Control Applications CCA '01

Y2 - 5 September 2001 through 7 September 2001

ER -

Some experiments on identification of a fed-batch culture via differential neural networks

Abstract

Conference

Keywords

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