{"title":"基于模糊推理的磁场综合及参数正则化","authors":"A. Ceclan, C. Barbulescu, D. Micu, L. Czumbil","doi":"10.1109/HSI.2008.4581470","DOIUrl":null,"url":null,"abstract":"The paper illustrates a robust regularization method for numerically synthesize a magnetic field, because the problem proves to be ill-posed and ill-conditioned. Truncated singular value decomposition has to be applied, so as to reach stable and physically meaning solutions. Fuzzy inference approach is adopted for the choose of the regularization parameter.","PeriodicalId":139846,"journal":{"name":"2008 Conference on Human System Interactions","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Magnetic field synthesis and parameter regularization by fuzzy inference\",\"authors\":\"A. Ceclan, C. Barbulescu, D. Micu, L. Czumbil\",\"doi\":\"10.1109/HSI.2008.4581470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper illustrates a robust regularization method for numerically synthesize a magnetic field, because the problem proves to be ill-posed and ill-conditioned. Truncated singular value decomposition has to be applied, so as to reach stable and physically meaning solutions. Fuzzy inference approach is adopted for the choose of the regularization parameter.\",\"PeriodicalId\":139846,\"journal\":{\"name\":\"2008 Conference on Human System Interactions\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Conference on Human System Interactions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HSI.2008.4581470\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Conference on Human System Interactions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HSI.2008.4581470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Magnetic field synthesis and parameter regularization by fuzzy inference
The paper illustrates a robust regularization method for numerically synthesize a magnetic field, because the problem proves to be ill-posed and ill-conditioned. Truncated singular value decomposition has to be applied, so as to reach stable and physically meaning solutions. Fuzzy inference approach is adopted for the choose of the regularization parameter.
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