环境规划中大气SO_2预测的神经网络模型

Artificial Neural Network Model for Sulphur Dioxide Forecasting in Environment Planning

为了对规划期间排入大气的SO2进行有效的控制,本文应用B-P人工神经网络方法建立了山西省运城市各县(区)人口数量、燃煤量、工业总产值和SO2排放量与SO2浓度的规划期综合预测模型,以实现在规划期间对大气的SO2的预测和控制。

Forecasting and warning model of relation between sulphur dioxide concentration and population, industrial product value, sulphur dioxide discharging quantity and coal consumed quantity was built for controlling and planning of SO2 discharge to some countries or districts based on the artificial neural networks, so as to predict and control sulphur dioxide concentration in planning periods.