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脐橙可食率自动估测研究

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利用脐橙重量与体积2个特征参数,通过建立BP网络模型,估测脐橙的可食率.结果发现,该方法对脐橙的可食率估测较高,预估可食率在74.48%~85.79%,均方差为3.19%,对样本的拟合效果较好.
Research of the Estimation of Navel Orange Edible Part
Based on building BP network model, edible rate of navel orange was estimated by using 2 characteristic parameters which were weight and volume of navel orange. The results showed that this method can obtained higher edible rate of navel orange, and predictive edible rate was 74.48% -85.79% , mean square deviation was 3. 19% , and it had a better fitting effect.

Edible partNeural networkNavel orange

石玉秋、马兆敏

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广西工学院电子信息与控制工程系,广西柳州,545006

可食率 神经网络 脐橙

2010

安徽农业科学
安徽省农业科学院

安徽农业科学

北大核心
影响因子:0.413
ISSN:0517-6611
年,卷(期):2010.38(19)
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