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Research on Expert System of Crop Disasters Based on Neural Network

机译:基于神经网络的作物灾害专家系统研究

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Crop disasters require diagnosis,then an improved neural network with weight adjustment of forecasting model is proposed.The crop disasters are regarded as example,after the symptoms of disasters and features are classified,abstracted and coded,the adjustment of weight,optimization of network structure and reasonable adjustment of parameters of BP neural network are discussed,then a model is constructed to forecast the disasters of crop,the weight is used as knowledge to predict disasters of crop through studying training samples.Results have shown that the optimization expert system of crop disasters based on neural network has greatly improved the accuracy and reliability of crop diagnosis.
机译:需要对作物灾害进行诊断,然后提出一种改进的神经网络,并在预测模型中进行权重调整。以作物灾害为例,对灾害的症状和特征进行分类,抽象和编码后,对权重进行调整,对网络结构进行优化。通过对BP神经网络参数的合理调整,建立了预测农作物灾害的模型,通过研究训练样本,利用权重作为知识来预测农作物的灾害。结果表明,农作物优化专家系统基于神经网络的灾害大大提高了农作物诊断的准确性和可靠性。

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