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ONE PREDICTION MODEL BASED ON BP NEURAL NETWORK FOR NEWCASTLE DISEASE

机译:基于BP神经网络的新城疾病预测模型

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The purpose of this paper is to investigate the correlation between meteorological factors and Newcastle disease incidence, and to determine the key factors that affect Newcastle disease. Having built BP neural network forecasting model by Matlab 7.0 software, we tested the performance of the model according to the coefficient of determination (R2) and absolute values of the difference between predictive value and practical incidence. The result showed that 6 kinds of meteorological factors determined, and the model's coefficient of determination is 0.760, and the performance of the model is very good. Finally, we build Newcastle disease forecasting model, and apply BP neural network theory in animal disease forecasting research firstly.
机译:本文的目的是探讨气象因素和新城疫发病率之间的相关性,并确定影响新城疫病的关键因素。通过MATLAB 7.0软件建立了BP神经网络预测模型,我们根据预测值和实际发生率之间的确定系数测试了模型的性能和绝对值。结果表明,确定6种气象因素,模型的测定系数为0.760,模型的性能非常好。最后,我们建立纽卡斯尔疾病预测模型,并首先在动物疾病预测研究中应用BP神经网络理论。

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