于ANFIS的水质评价模型及其应用

在分析以往水质综合评价方法优缺点的基础上,采用自适应神经模糊推理系统(Adaptive Neural FuzzyInference System,ANFIS)建立了水质综合评价模型。以MATLAB为工具,以某市7个水质观测点为实例进行研究,并将评价结果和人工神经网络法、灰色聚类法及地图重叠法的结果进行分析比较。结果表明:该模型具有计算速度快,评价结果客观、合理、稳定等特点,能够有效的应用于水质综合评价。

Water quality evaluation model based on ANFIS and its application

On the basis of analysis of advantages and disadvantages of former water quality assessment methods,a new water quality assessment model was established by using Adaptive Neural Fuzzy Inference System(ANFIS).As an example,it was used to evaluate water quality of seven observation stations in a city by MATLAB.By comparing with ANN,gray clustering method and map superposition method, it is shown that,with high calculation speed and objective,stable and reasonable evaluation results,the model can be applied effectively to water quality evaluation.