{"title":"受量子计算机科学方法启发的系统进化算法,用于提高电气工程和电力工程中神经模型的准确性","authors":"J. Tchórzewski","doi":"10.21008/J.1508-4248.2016.0025","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":10642,"journal":{"name":"Computer Applications in Electrical Engineering","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Systemic Evolutionary Algorithm inspired by methods of Quantum computer sciences for the improvement of the accuracy of neural models in electrical engineering and electrical power engineering\",\"authors\":\"J. Tchórzewski\",\"doi\":\"10.21008/J.1508-4248.2016.0025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":10642,\"journal\":{\"name\":\"Computer Applications in Electrical Engineering\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21008/J.1508-4248.2016.0025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21008/J.1508-4248.2016.0025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Systemic Evolutionary Algorithm inspired by methods of Quantum computer sciences for the improvement of the accuracy of neural models in electrical engineering and electrical power engineering