Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1667
Title: Use of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks [articol]
Authors: Glevitzky, Mirel
Bogdan, Ion
Brusturean, Gabriela-Alina
Perju, Delia Maria
Subjects: Chimie alimentară
Articol
Soft drinks
Backpropagation Artificial Neural Netwoks
Shelf life
Issue Date: 2008
Publisher: Timişoara: Editura Politehnica
Citation: Glevitzky, Mirel. Use of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks. Timişoara: Editura Politehnica, 2008
Series/Report no.: Seria chimie şi ingineria mediului, Tom 53(67), fasc. 1-2 (2008);
Abstract: The purpose of this study was to develop an advanced investigation strategy for shelf life estimation of carbonated soft drinks. The strategy was based on the training capability of an Artificial Neural Networks and it has proves to be very successful. The model developed by using the Back-Propagation Neural Networks and simulations, was used to predict the variation in the CO2 content of carbonated soft drinks, bottled in PET containers.
URI: http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Use%20of%20artificial%20neural%20networks%20as%20methodology%20of%20establishing%20the%20shelf%20life%20of%20carbonated%20soft%20drinks&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
Appears in Collections:Articole științifice/Scientific articles

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