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传染病流行传播与环境因素的相关关系是极其复杂的非线性关系,它们之间很难用精确的数学方程式来表示,而神经网络在解决非线性问题时具有很强的优越性。本文介绍了人工神经网络(ANN)中的BP神经网络在传染病流行与传播预测方面的应用,为人工神经网络在传染病预测方面的应用提供了一定的借鉴意义。
The relationship between epidemic spread of infectious diseases and environmental factors is an extremely complicated non-linear relationship, which is difficult to be expressed by accurate mathematical equations. However, neural networks have strong superiority in solving nonlinear problems. This paper introduces the application of BP neural network in artificial neural network (ANN) in epidemic and spread of infectious diseases, and provides some reference for the application of artificial neural network in the prediction of infectious diseases.