摘要
通过运用人工神经网络的多层神经网络对某区大气污染物SO2浓度的实测值进行训练学习,建立模型,再用此模型对SO2浓度进行预测和预报,以达到对大气环境质量进行预测预警的作用。应用实例表明:人工神经网络应用于大气环境质量预测预警是比较理想的。
The data examples of SO2 concentration, air press, temperature, relative humidity, wind speed, wind direction that was trained by multilayer ANN was built a predicted ＆ warned model, for predicting short-term SO2concentration of regional atmospheric environment in Wuyang industrial area, Shanxi province. The results showed, the application of artificial neural networks on atmospheric quality predicting ＆ warning is reasonable and has many advantages.
出处
《工程建设与设计》
2010年第7期74-77,共4页
Construction & Design for Engineering
关键词
大气环境质量
SO2浓度
人工神经网络
预测和预警
Atmospheric environmental quality
Sulfur dioxide concentration
Artificial neural networks
Prediction ＆ warning
