期刊名称：Advances in Computer Science and its Applications
印刷版ISSN：2166-2924
出版年度：2012
卷号：1
期号：2
页码：93-96
语种：English
出版社：World Science Publisher
摘要：Radial basis (exact fit) artificial neural network model for estimating the shelf life of burfi stored at 30º C has been developed. Input variables for developing the models were moisture, titratable acidity, free fatty acids, tyrosine, and peroxide value; and the overall acceptability score was 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 developed models. High correlation was found between training and validation data, indicating that the developed Radial basis (exact fit) ANN models are good for estimating the shelf life of burfi .
关键词：Artificial Neural Networks;Artificial Intelligence;Radial Basis (Exact Fit);Burfi;Shelf Life
