| 基于参数化遗传神经网络的植物病害预测方法 |
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| 引用本文： | 熊雪梅,姬长英,Claudio Moraga. 基于参数化遗传神经网络的植物病害预测方法[J]. 农业机械学报, 2004, 35(6): 110-114 |
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| 作者姓名： | 熊雪梅 姬长英 Claudio Moraga |
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| 作者单位： | 南京农业大学工学院,讲师,210031,南京市;南京农业大学工学院,教授,博士生导师;Department of Computer Science I, University of Dortmund, Dortmund, 44221 Germany |
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| 摘 要： | 将混合神经网络(PFNN—FG)技术应用于植物病害预测，其输入矢量含模糊分量，遗传算法优化配置各参数。变形Sigmoid函数用于不同的隐含层，构成参数化神经网络。网络的输入层引入模糊集合理论，使网络能处理语义变量。将PFNN—FG和其他神经网络(如前向神经网络、径向基神经网络等)用于大豆基准问题进行分析比较，结果是PFNN—FG在精度和训练速度上优于其他网络。将PFNN—FG和前向神经网络用于2组黄瓜霜霉病数据，前者测试组的均方根误差小于后者。
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| 关 键 词： | 植物 病虫害防治技术 参数化神经网络 模糊集 遗传算法 |
| 修稿时间： | 2004-01-14 |
Parametric Fuzzy Neural Network Based on Genetic Algorithm Configured for Plant Disease Prediction |
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| Xiong Xuemei Ji Changying. Parametric Fuzzy Neural Network Based on Genetic Algorithm Configured for Plant Disease Prediction[J]. Transactions of the Chinese Society for Agricultural Machinery, 2004, 35(6): 110-114 |
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| Authors: | Xiong Xuemei Ji Changying |
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| Affiliation: | Xiong Xuemei Ji Changying (Nanjing Agricultural University) Claudio Moraga(University of Dortmund) |
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| Abstract: | This paper proposed a hybrid neural network based on parametric feedforward neural networks with fuzzy inputs configured by a genetic algorithm (PFNNFG). A variant Sigmoid function was used at various hidden layers. The fuzzy set theory was employed at the input layer to make the processing of linguistic variables possible. The parameters of the variant Sigmoid function and the fuzzy parameters were configured by a genetic algorithm. A comparative analysis between PFNNFG and other neural networks on benchmark problems shows that PFNNFG is comparable with the other networks in terms of accuracy of the obtained results, but it is much faster. |
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| Keywords: | Plants Techniques of pest control Parametric neural network Fuzzy set Genetic algorithm |
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