摘要
文章根据青弋江芜湖市区段水质特点构建了合适的BP神经网络评价模型,并通过插值的方法增加了样本数量。训练和评价的结果说明BP网络模型在青弋江水质的评价方面是一种简单有效的方法。
According to water quality features of Qingyijiang River in Wuhu City proper, suitable water quality evaluation model i.e. BP Artificial Neural Network is built and the number of samples is increased using interpolation. The resuh of trust and evaluation indicate that BP Artificial Neural Network is a simple and effective method for water quality evaluation of Qingyijiang River.
出处
《安徽建筑》
2008年第3期167-168,172,共3页
Anhui Architecture
关键词
BP神经网络
水质评价
青弋江
BP Artificial Neural Network water quality evaluation
Qingyijiang River
