阐述了人工神经网络基本原理,介绍了BP网络的地下水水质评价模型。
BP network model of groundwater quality assessment based on the calculation of BP neural network is presented.
实例表明,将此网络模型应用于城市地下水水质评价是有效的、可行的。
The results indicate that the application of integrated BP network to the evaluation of municipal groundwater quality is successful.
其次,构建了太原市地下水水质集对分析评价模型,并将该模型运用于太原市地下水水质评价。
Secondly, groundwater quality set pair analysis and evaluation model was built and applied to the groundwater quality evaluation in Taiyuan.
弥散系数是进行地下水水质评价和预测的重要水文地质参数,也是水文地质求参尚未很好解决的问题之一。
Disperston coefficient is an important hydrogeological parameter for the assessment and forecast of groundwater quality. It is one of the problems not well solved for hydro-geology.
以黑龙洞泉域为例,研究了属性识别理论在地下水质评价中的应用。
Taking Heilongdong spring area as an example, the application of attribute recognition theory for groundwater quality assessment is studied.
采用单项指标法和综合污染指数法两种方法对娘子关泉域地下水污染现状进行了水质评价。
The ground water quality of Niangziguan Karst spring is evaluated by comprehensive index method and single index method.
采用单项指标法和综合污染指数法两种方法对娘子关泉域地下水污染现状进行了水质评价。
The ground water quality of Niangziguan Karst spring is evaluated by comprehensive index method and single index method.
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