北京师范大学学报（自然科学版）Issue(4)：424-428,5.
基于人工神经网络改进的地下水水质评价模型研究及应用
IMPROVED MODEL OF GROUNDWATER QUALITY EVALUATION BASED ON ARTIFICIAL NEURAL NETWORK
摘要
Abstract
Groundwater quality assessment is necessary for groundwater pollution control and resource protection.Single factor evaluation was used to optimize a model based on artificial neural network for groundwater quality evaluation.When the model was applied to a water source in Shandong province,data showed that the groundwater largely met Ⅲ class standards,satisfying demand for large water supply water source,but high level pollutants were present in many areas.Data complied with water quality situation accurately.关键词
地下水水质/人工神经网络/水质评价模型/主要污染因子Key words
groundwater quality/artificial neural networks/water quality assessment method/main pollution factor引用本文复制引用
都莎莎,王红旗,刘姝媛,田雅楠..基于人工神经网络改进的地下水水质评价模型研究及应用[J].北京师范大学学报（自然科学版）,2014,(4):424-428,5.基金项目
环保公益性行业科研基金重大资助项目(201009009) （201009009）
