摘要
利用改进BP人工神经网络模型对吉林市地下水水质进行现状评价,并与综合指数法评价结果进行对比,研究结果表明,改进BP人工神经网络应用于地下水水质评价简单实用,并得到与常规评价方法一致的结论,是一种快捷有效的评价方法。
The groundwater quality in Jilin City is evaluated by improved BP manual neural network model, and compared by the result from the composite index evaluation, which shows the former simple and practical, fast and effective and the same conclusions with the traditional evaluation.
出处
《吉林水利》
2008年第9期31-33,38,共4页
Jilin Water Resources
关键词
吉林市
地下水水质评价
神经网络
综合指数法
jilin City
groundwater quality assessment
neural network
the composite index
