基于模糊神经网络的智能供水系统水质评价

Guangbin Xu, Guosheng Chen, Sun Lou, Li Jia
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引用次数: 1

摘要

为解决水质等级科学评价问题,采用基于模糊神经网络的智能供水质量评价方法,对地表水环境质量标准指标进行了分析。研究了模糊神经网络算法,提出了智能供水系统水质评价模型。通过训练数据学习和测试数据验证,证明了模糊神经网络的有效性。根据学习到的参数,可以科学、快速、有效地评价今后几个月的水质等级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Water quality evaluation in intelligent water service based on fuzzy neural network
In order to solve the problem of science evaluation of water quality grade, the method of intelligent water service quality evaluation based on fuzzy neural network was used to analyze the indicators of surface water environmental quality standards. The algorithm of fuzzy neural network was researched, and the water quality evaluation model of intelligent water service was proposed. Through the training data learning and test data verification, the fuzzy neural network was proved to be effective. According to the parameters learned, the water quality grade in the following months can be evaluated scientifically, quickly and effectively.
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