Modeling of physical properties of apple slices (Golab variety) Using artificial neural netwo networks rks

摘要：

Apple is among the popular fruits and of a high economic value.Sorting and grading of apple is needed for the fruit to be presented to local and foreign markets.A study of apple physical properties therefore is imperative.In this work, some physical properties of apples (Golab variety) such as main diameter, mass, volume and fruit density were determined and relation between mass and other parameters were modeled using artificial neural networks.In this study, we used Feed-Forward Back Propagation (FFBP) network with training algorithms; Levenberg-Marquard and Momentum.The results have shown that Levenberg- Marquard algorithm gave better result than Momentum algorithm, and Feed-Forward Back Propagation (FFBP) network with topology 3-6-4-1, 3-6-1, 3-4-2-2-1 and 3-6-6-1; and Levenberg-Marquard algorithm could predict relation between mass and other parameters with error percentages 0.999999, 0.999999, 0.999999 and 0.999999; and mean square error 0.000078, 0.000118, 0.000158 and 0.000194.

关键词： apple (Golab variety) artificial neural network Feed-Forward Back Propagation Levenberg-Marquard algorithm Momentum algorithm physical properties

作者: E.Meisami-asl S.Rafiee A.Keyhani A.Tabatabaeefar

作者单位: Department of Power and Machinery,College of Agricultural Biosystem Engineering,University of Tehran,Karaj,Islamic Republic of Iran

会议类型: 国际会议

会议名称: The 7th Asia-Pacific Drying Conference(第七届亚太地区干燥会议 ADC2011)

会议地点: 天津

会议语种:英文

页码: 1-4

在线出版日期: 2011-09-18（万方平台首次上网日期，不代表论文的发表时间）