{"title":"采用遗传算法形成模糊神经网络的最优结构","authors":"E. S. Filatova, D. Filatov, A. D. Stotskaia","doi":"10.1109/SCM.2015.7190438","DOIUrl":null,"url":null,"abstract":"Application of genetic algorithm to the formation of the optimal structure of fuzzy neural networks used in the short-term forecasting of power consumption is presented.","PeriodicalId":106868,"journal":{"name":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","volume":"566 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Genetic algorithm to the formation of the optimal structure of fuzzy neural network\",\"authors\":\"E. S. Filatova, D. Filatov, A. D. Stotskaia\",\"doi\":\"10.1109/SCM.2015.7190438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Application of genetic algorithm to the formation of the optimal structure of fuzzy neural networks used in the short-term forecasting of power consumption is presented.\",\"PeriodicalId\":106868,\"journal\":{\"name\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"volume\":\"566 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 XVIII International Conference on Soft Computing and Measurements (SCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCM.2015.7190438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 XVIII International Conference on Soft Computing and Measurements (SCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCM.2015.7190438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Genetic algorithm to the formation of the optimal structure of fuzzy neural network
Application of genetic algorithm to the formation of the optimal structure of fuzzy neural networks used in the short-term forecasting of power consumption is presented.