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Use of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks [articol]

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dc.contributor.author Glevitzky, Mirel
dc.contributor.author Bogdan, Ion
dc.contributor.author Brusturean, Gabriela-Alina
dc.contributor.author Perju, Delia Maria
dc.date.accessioned 2020-04-27T08:29:08Z
dc.date.accessioned 2021-03-01T08:38:41Z
dc.date.available 2020-04-27T08:29:08Z
dc.date.available 2021-03-01T08:38:41Z
dc.date.issued 2008
dc.identifier.citation Glevitzky, Mirel. Use of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks. Timişoara: Editura Politehnica, 2008 en_US
dc.identifier.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
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher Timişoara: Editura Politehnica en_US
dc.relation.ispartofseries Seria chimie şi ingineria mediului, Tom 53(67), fasc. 1-2 (2008);
dc.subject Chimie alimentară en_US
dc.subject Articol en_US
dc.subject Soft drinks en_US
dc.subject Backpropagation Artificial Neural Netwoks en_US
dc.subject Shelf life en_US
dc.title Use of artificial neural networks as methodology of establishing the shelf life of carbonated soft drinks [articol] en_US
dc.type Article en_US


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