Study on Storage Characteristic of Navel Orange Based on ANN

摘要：

In order to predict storage life of navel orange, The model for the variable regularity of total soluble sugar, total acidity, vitamin C, soluble solids, the sugar-acidity ratio in navel orange according to storage time was established based on BP artificial neural network . The results show that the multifactor BP artificial neural network model has better predicted effect than single-factor one. When the number of the hidden layer neuron is 8, the multifactor BP artificial neural network model of total soluble sugar, total acidity, vitamin C, soluble solids, the sugar-acidity ratio according to storage time was the most accurate, the correlation coefficient R between prediction and true value of storage time reached 0.98, the prediction and true value of the model was 0.99. As a result, the multi factor BP artificial neural network model could be used to predict the navel orange storage life.

关键词： Navel orange storage life BP artificial neural network

作者: Junfang Xia Runwen Hu

作者单位: College of Engineering and Technology Huazhong Agricultural University,Wuhan 430070 China

会议类型: 国际会议

会议名称: The 4th IFIP International on Computer and Computing Technologies in Agriculture and the 4th Symposium on Development of Rural Information(第四届国际计算机及计算机技术在农业中的应用研讨会暨第四届中国农业信息化发展论坛 CCTA 2010)

会议地点: 南昌

会议语种:英文

页码: 667-673

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）