Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке: https://open.uns.ac.rs/handle/123456789/12005
Назив: Artificial neural network approach to modelling of alcoholic fermentation of thick juice from sugar beet processing
Аутори: Jokić, Aleksandar 
Grahovac (Ranković), Jovana 
Dodić, Jelena 
Zavargo, Zoltan
Dodić, Siniša 
Popov, Stevan 
Vučurović, Damjan 
Датум издавања: 29-мај-2012
Издавач: Belgrade: Association of the Chemical Engineers of Serbia
Часопис: Hemijska Industrija
Сажетак: In this paper the bioethanol production in batch culture by free Saccharomyces cerevisiae cells from thick juice as intermediate product of sugar beet processing was examined. The obtained results suggest that it is possible to decrease fermentation time for the cultivation medium based on thick juice with starting sugar content of 5-15 g kg -1. For the fermentation of cultivation medium based on thick juice with starting sugar content of 20 and 25 g kg -1 significant increase in ethanol content was attained during the whole fermentation process, resulting in 12.51 and 10.95 dm 3 m -3 ethanol contents after 48 h, respectively. Other goals of this work were to investigate the possibilities for experimental results prediction using artificial neural networks (ANNs) and to find its optimal topology. A feedforward back-propagation artificial neural network was used to test the hypothesis. As input variables fermentation time and starting sugar content were used. Neural networks had one output value, ethanol content, yeast cell number or sugar content. There was one hidden layer and the optimal number of neurons was found to be nine for all selected network outputs. In this study, transfer function was tansig and the selected learning rule was Levenberg-Marquardt. Results suggest that artificial neural networks are good prediction tool for selected network outputs. It was found that experimental results are in very good agreement with computed ones. The coefficient of determination (the R-squared) was found to be 0.9997, 0.9997 and 0.9999 for ethanol content, yeast cell number and sugar content, respectively.
URI: https://open.uns.ac.rs/handle/123456789/12005
ISSN: 0367598X
DOI: 10.2298/HEMIND110805085J
Налази се у колекцијама:TF Publikacije/Publications

Приказати целокупан запис ставки

SCOPUSTM   
Навођења

11
проверено 03.05.2024.

Преглед/и станица

45
Протекла недеља
14
Протекли месец
4
проверено 10.05.2024.

Google ScholarTM

Проверите

Алт метрика


Ставке на DSpace-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.