{"title":"基于模糊神经网络的智能供水系统水质评价","authors":"Guangbin Xu, Guosheng Chen, Sun Lou, Li Jia","doi":"10.1109/isctt51595.2020.00089","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":178054,"journal":{"name":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Water quality evaluation in intelligent water service based on fuzzy neural network\",\"authors\":\"Guangbin Xu, Guosheng Chen, Sun Lou, Li Jia\",\"doi\":\"10.1109/isctt51595.2020.00089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":178054,\"journal\":{\"name\":\"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/isctt51595.2020.00089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/isctt51595.2020.00089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.