{"title":"基于bp神经网络的水工钢闸门安全性评价研究","authors":"Guo Jianbin, Wen Yuanchang, Xiaowei Jian","doi":"10.1109/SUPERGEN.2009.5348021","DOIUrl":null,"url":null,"abstract":"Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.","PeriodicalId":250585,"journal":{"name":"2009 International Conference on Sustainable Power Generation and Supply","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Safety evaluation research of hydraulic steel gate based on BP-neural network\",\"authors\":\"Guo Jianbin, Wen Yuanchang, Xiaowei Jian\",\"doi\":\"10.1109/SUPERGEN.2009.5348021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.\",\"PeriodicalId\":250585,\"journal\":{\"name\":\"2009 International Conference on Sustainable Power Generation and Supply\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Sustainable Power Generation and Supply\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SUPERGEN.2009.5348021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Sustainable Power Generation and Supply","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUPERGEN.2009.5348021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Safety evaluation research of hydraulic steel gate based on BP-neural network
Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
