人工神经网络在大气污染预测中的应用研究

Study on prediction of atmosphere pollution concentration based on artificial neural network

以陕西省宝鸡市空气污染指数的预测预报为例,引入人工神经网络的理论和方法,对其进行模拟分析,建立了基于BP神经网络的空气污染指数非线性时间序列预报模型。模型仿真性能检验和精确度检验表明:建立的模型准确度高,适应性强,可直接用于宝鸡市日空气污染指数的预报。

The BP neural network forecast method is introduced in air pollution prediction and the nonlinear time serial neural network prediction model for air pollution index in Bao＇ ji is established. The research results show the model has high accuracy and good adaptability, and it can be applied directly to forecast the air pollution index in Bao＇ji.