Comparison Research of Groundwater Quality Evaluation Method of Fuzzy Mathematics and Neural Network

Water quality evaluation is a foundation work in both the protection of water environment and water environment management, at present, people often use lots of water quality comprehensive evaluation methods, such as the comprehensive index method, clustering analysis and fuzzy mathematics method, artificial neural network, etc. This article research significance lies in the fuzzy mathematics method and artificial neural network, using such two kinds of methods evaluate the quality of ground water, according to the evaluation result comparison, analysis the reasons of the existence of differences, so as to provide the basis for underground water quality protection. Based on the same research area and same wells, calculated analysis: using fuzzy mathematics method to evaluate the water quality grade value will be greater than the application of neural network to evaluate the water quality grade, at the same time, the selection of evaluation factors or neural network training method is different, all can affect the final result.