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基于概率神经网络的农作物虫情预测
引用本文:张海艳,彭双飞,封安辉.基于概率神经网络的农作物虫情预测[J].电子质量,2010(9):3-5.
作者姓名:张海艳  彭双飞  封安辉
作者单位:兰州交通大学自动化与电气工程学院,甘肃兰州,730070
摘    要:为了提高对农作物虫情预测的准确度,本文主要采用概率神经网络(PNN)对农作物虫情进行预测.并将预测结果与BP神经网络的预测结果进行比较。结果表明,概率神经网络的预测准确度远远大于BP神经网络,显示了概率神经网络在模式识别领域的优势。

关 键 词:PNN(概率神经网络)  农作物虫情预测  BP神经网络

The Prediction of Crops Pests Based on Probabilistic Neural Network
Zhang Hai-yan,Peng Shuang-fei,Feng An-hui.The Prediction of Crops Pests Based on Probabilistic Neural Network[J].Electronics Quality,2010(9):3-5.
Authors:Zhang Hai-yan  Peng Shuang-fei  Feng An-hui
Affiliation:Zhang Hai-yan,Peng Shuang-fei,Feng An-hui(Lanzhou Traffic University,Gansu Lanzhou 730070)
Abstract:In order to improve the prediction accuracy of crops pests,this paper mainly adopted Probabilistic Neural Network(PNN) to predict crops pests,and the prediction results were compared with that of BP neural network.The results showthat the prediction accuracy of Probabilistic Neural Network is greater than that of BP neural network,and display the advantage in the pattern recognition field.
Keywords:PNN(Probabilistic Neural Network)  the prediction of crops pests  BP neural network  
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