基于机器学习的Fe-Si-Al-P软磁合金功率特性VIGA工艺参数优化

{"title":"基于机器学习的Fe-Si-Al-P软磁合金功率特性VIGA工艺参数优化","authors":"Sung-Min Kim, eun-Ji Cha, D. Kwon, Sung-uk Hong, Seok-Jae Lee, Kee‐Ahn Lee, hwi-Jun KiM","doi":"10.4150/kpmi.2022.29.6.459","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":16122,"journal":{"name":"Journal of Korean Powder Metallurgy Institute","volume":"26 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of VIGA Process Parameters for Power Characteristics of Fe-Si-Al-P Soft Magnetic Alloy using Machine Learning\",\"authors\":\"Sung-Min Kim, eun-Ji Cha, D. Kwon, Sung-uk Hong, Seok-Jae Lee, Kee‐Ahn Lee, hwi-Jun KiM\",\"doi\":\"10.4150/kpmi.2022.29.6.459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":16122,\"journal\":{\"name\":\"Journal of Korean Powder Metallurgy Institute\",\"volume\":\"26 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Powder Metallurgy Institute\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4150/kpmi.2022.29.6.459\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Powder Metallurgy Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4150/kpmi.2022.29.6.459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}