| BP神经网络结合正交试验法优化Bacillus velezensis Z-27菌株培养基组分 |
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| 引用本文： | 甄新武,乔均俭.BP神经网络结合正交试验法优化Bacillus velezensis Z-27菌株培养基组分[J].湖北农业科学,2013,52(13). |
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| 作者姓名： | 甄新武 乔均俭 |
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| 作者单位： | 河北农业大学理学院,河北保定,071001 |
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| 摘 要： | 将BP人工神经网络(Artificiai neural network)技术与传统的正交试验方法相结合,提出一种新的试验分析和处理方法,利用神经网络特有的自学能力,对主要影响因素进行仿真优化,获得Bacillus velezensis Z-27菌株培养基组分,即玉米粉2.0％、豆饼粉1.5％、MnSO4· H2O 0.07％,起始pH为7.0、接种量为2.0％,应用优化得到的培养基组分进行验证试验,取得了较好的效果.
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| 关 键 词： | BP人工神经网络(Artificiai neural network) 正交试验 培养基 Bacillus velezensis Z-27菌株 |
Culture Medium of Strain——Bacillus velezensis Z-27 Based on BP Artificiai Neural Network Combined With Orthogonal Experiment |
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| ZHEN Xin-wu
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QIAO Jun-jian.Culture Medium of Strain——Bacillus velezensis Z-27 Based on BP Artificiai Neural Network Combined With Orthogonal Experiment[J].Hubei Agricultural Sciences,2013,52(13). |
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| Authors: | ZHEN Xin-wu QIAO Jun-jian |
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| Abstract: | |
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| Keywords: | BP artificial neural network orthogonal experiment culture medium Bacillus velezensis Z-27 strain |
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