Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/1667
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dc.contributor.authorGlevitzky, Mirel-
dc.contributor.authorBogdan, Ion-
dc.contributor.authorBrusturean, Gabriela-Alina-
dc.contributor.authorPerju, Delia Maria-
dc.date.accessioned2020-04-27T08:29:08Z-
dc.date.accessioned2021-03-01T08:38:41Z-
dc.date.available2020-04-27T08:29:08Z-
dc.date.available2021-03-01T08:38:41Z-
dc.date.issued2008-
dc.identifier.citationGlevitzky, Mirel. Use of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks. Timişoara: Editura Politehnica, 2008en_US
dc.identifier.urihttp://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-
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherTimişoara: Editura Politehnicaen_US
dc.relation.ispartofseriesSeria chimie şi ingineria mediului, Tom 53(67), fasc. 1-2 (2008);-
dc.subjectChimie alimentarăen_US
dc.subjectArticolen_US
dc.subjectSoft drinksen_US
dc.subjectBackpropagation Artificial Neural Netwoksen_US
dc.subjectShelf lifeen_US
dc.titleUse of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks [articol]en_US
dc.typeArticleen_US
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