| 基于BP神经网络算法的红枣分级技术应用 |
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| 引用本文： | 张保生,姚瑞央.基于BP神经网络算法的红枣分级技术应用[J].广东农业科学,2010,37(11):282-283. |
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| 作者姓名： | 张保生 姚瑞央 |
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| 作者单位： | 许昌职业技术学院,河南,许昌,461000 |
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| 摘 要： | 分别从几何形状特征、颜色特征及纹理特征三方面入手,并对所有特征进行优化选择,最终得到3个表征红枣特性的特征量;建立红枣样本数据库,以BP神经网络为模型,设计合理的BP神经网络训练和测试方法,对红枣进行分级研究,通过不同样本条件下的实验测试,可以得到高达94%的红枣等级划分正确率,能较好地满足红枣分级的需求,对红枣产品的生产、销售均具有一定的理论和实际意义。
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| 关 键 词： | BP神经网络 网络拓扑 红枣 特征提取 分级测试 |
BP neural network algorithm in the classification of jujube |
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| MANG Bao-sheng,YAO Rui-yang.BP neural network algorithm in the classification of jujube[J].Guangdong Agricultural Sciences,2010,37(11):282-283. |
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| Authors: | MANG Bao-sheng YAO Rui-yang |
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| Institution: | ZHANG Bao-sheng,YAO Rui-yang(Xuchang Vocational Technical College,Xuchang 461000,China) |
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| Abstract: | Feature extraction method was researched deeply from three aspects such as geometric shape feature,color feature and texture feature,and 21 features were extracted.After that,feature optimization method was studied,and 3 feature values were finally optimized to stand for the characters of red jujubes.A sample database of red jujube is set up for BP neural network,and a rational BP neural network training and test model was designed to study the classification of red jujube.Experiments under different condit... |
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| Keywords: | BP neural network topology jujube feature extraction placement test |
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