| BP人工神经网络在家蚕杂交组合预测中的应用初探 |
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| 引用本文： | 何克荣,柳新菊,祝新荣.BP人工神经网络在家蚕杂交组合预测中的应用初探[J].蚕桑通报,2010,41(3):26-28. |
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| 作者姓名： | 何克荣 柳新菊 祝新荣 |
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| 作者单位： | 浙江省农业科学院,蚕桑研究所,浙江,杭州,310021;浙江省农业科学院,蚕桑研究所,浙江,杭州,310021;浙江省农业科学院,蚕桑研究所,浙江,杭州,310021 |
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| 摘 要： | 利用前馈神经网络(BPANN)建立了家蚕杂种一代的6个经济性状的预测模型,通过验证得出,以双亲成绩作为输入神经元,利用BPANN模型预测杂种一代6个经济性状的平均预测误差均在5%左右。表明利用神经网络模型用来预测杂种一代成绩具有研究应用前景。
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| 关 键 词： | 家蚕 BP神经网络 杂交组合 预测 |
Preliminary Research on the Prediction for Hybrid Combination Performance Based on BP Artificial Neural Network |
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| HE Ke-rong,LIU Xin-ju,ZHU Xin-rong.Preliminary Research on the Prediction for Hybrid Combination Performance Based on BP Artificial Neural Network[J].Bulletin of Sericulture,2010,41(3):26-28. |
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| Authors: | HE Ke-rong LIU Xin-ju ZHU Xin-rong |
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| Institution: | HE Ke-rong,LIU Xin-ju,ZHU Xin-rong (Institute of Sericulture,Zhejiang Academy of Agricultural Sciences,Zhejiang Hangzhou 310021) |
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| Abstract: | The prediction models of the six economic traits on silkworm hybrid were established using BP artificial neural network (BP ANN).It is found by test that use parents as an input neurons the average prediction error of the six economic traits of the hybrid is about 5%.There is prospect of research and application in the silkworm hybrid combination performance. |
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| Keywords: | Bombyx mori BP neural network Hybrid combination Prediction |
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