期刊名称:Universitatea Politehnica din Timisoara. Buletinul Stiintific. Seria Chimie si Ingineria Mediului
印刷版ISSN:1224-6018
出版年度:2008
卷号:53(67)
期号:01-02
出版社:Universitatea Politehnica din Timisoara
摘要: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.
关键词:soft drinks, Backpropagation Artificial Neural Netwoks, shelf life