期刊名称：International Journal of Research Studies in Computing
印刷版ISSN：2243-7797
出版年度：2012
卷号：1
期号：2
DOI：10.5861/ijrsc.2012.101
语种：English
出版社：Consortia Academia, Philippines
摘要：Time-delay single layer artificial neural network models were developed for estimating the shelf life of burfi stored at 30ºC. Input variables for the models were moisture, titratable acidity, free fatty acids, tyrosine, and peroxide value, while the overall acceptability score was taken as output variable. Mean square error, root mean square error, coefficient of determination and Nash - sutcliffo coefficient were applied in order to compare the prediction ability of the Time-delay single layer models. The combination of 5-1-1 showed a very high correlation between the training and validation data, establishing that the developed models are effective in predicting the shelf life of burfi.
关键词：time-delay;artificial intelligence;artificial neural network;burfi;shelf life prediction
