摘要
以大气环境质量标准为基础样本,构建了径向基网络模型(RBF-ANN),利用该网络对6个区域的大气环境质量进行了评价,结果表明:RBF网络简便有效,可操作性强,具有极快的收敛速度和分类能力,能大大节约计算时间,经与其它方法比较,评价结果具有较高的精度和可信度,并且RBF网络具有良好的泛化能力,适用性广,显示出良好的应用前景。
According to the basis of the atmospheric environmental quality standard, a Radial Basis Function Network can be constructed, which is one of the artificial neural network. The model is used to evaluate the atmospheric environmental quality of six regions. Practice shows that the result has better precision and reliability comparing with other methods. With its fast convergence speed and good classification capability, the RBF-ANN is convenient in operation and can save a lot of time. It has good extensive ability and takes on wide application foreground.
出处
《水土保持研究》
CSCD
北大核心
2006年第5期154-155,159,共3页
Research of Soil and Water Conservation
关键词
RBF网络
大气环境质量
评价
RBF- ANN
Atmospheric Environmental Quality
Evaluation
