ARTIFICIAL NEURAL NETWORKS USED FOR THE SIMULATION OF THE BATCH FERMENTATION BIOREACTOR

被引：0

作者：

Cristea, Vasile Mircea ^{[1
]}

Arpad, Imre Lucaci ^{[1
]}

Anca, Sipos ^{[2
]}

Dorina, Bratfalean ^{[1
]}

Agachi, Paul Serban ^{[1
]}

机构：

[1] Univ Babes Bolyai, Fac Chem & Chem Engn, Cluj Napoca 400028, Romania

[2] Lucian Blaga Univ Sibiu, Fac Food Ind, Sibiu 550024, Romania

来源：

STUDIA UNIVERSITATIS BABES-BOLYAI CHEMIA | 2009年 / 54卷 / 04期

关键词：

alcoholic fermentation; Artificial Neural Networks; modelling;

D O I：

暂无

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The paper presents the modelling results of the batch alcoholic fermentation bioreactor using both the first principle and the Artificial Neural Networks (ANN) approach. For the nonlinear fermentation process the first principle model validated with experimental data considers for the biomass the Monod and for substrate the Bovee and Strehaiano models, including the temperature influence. It has been used for the ANN model development. A design and training methodology is proposed for statistical modelling based on artificial neural networks. Comparison between the two models is performed revealing the incentives of the ANN modelling method for reducing the computational time and sparing the computer resources.

引用

页码：87 / 94

页数：8

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