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阐述了运用人工神经网络的多层神经网络对大气SO2的实测值及其相关气象因子进行训练学习,建立大气SO2与气象因子的相关模型,用此模型对SO2进行短期预测预警,这将对大气环境质量预测预警具有重要的实际意义。
The multi-layer neural network based on artificial neural network is used to train and learn the measured value of atmospheric SO2 and its related meteorological factors. A correlation model between atmospheric SO2 and meteorological factors is established. With this model, short- Prediction of environmental quality has important practical significance.