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- W1505038332 abstract "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 multi-factor BP artificial neural network model has better predicted effect than single-factor one. When the number of the hidden layer neuron is 8, the multi-factor 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." @default.
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- W1505038332 date "2011-01-01" @default.
- W1505038332 modified "2023-09-26" @default.
- W1505038332 title "Study on Storage Characteristic of Navel Orange Based on ANN" @default.
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- W1505038332 doi "https://doi.org/10.1007/978-3-642-18336-2_81" @default.
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