{"title":"神经网络诊断","authors":"E. Schoneburg","doi":"10.1109/CMPEUR.1992.218438","DOIUrl":null,"url":null,"abstract":"Diagnosis is an important part of the product quality assurance cycle. The construction of diagnosis systems with neural nets, which solves problems hitherto unsolved, creates effective real-time opportunities, and a new level of robustness is discussed. The application of neural nets is illustrated in three examples. The first example shows how the effect of medication can be diagnosed. The other two involve automotive applications. They were derived from industrial products created by Expert Informatik GmbH over the years 1989 to 1992.<<ETX>>","PeriodicalId":390273,"journal":{"name":"CompEuro 1992 Proceedings Computer Systems and Software Engineering","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Diagnosis using neural nets\",\"authors\":\"E. Schoneburg\",\"doi\":\"10.1109/CMPEUR.1992.218438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diagnosis is an important part of the product quality assurance cycle. The construction of diagnosis systems with neural nets, which solves problems hitherto unsolved, creates effective real-time opportunities, and a new level of robustness is discussed. The application of neural nets is illustrated in three examples. The first example shows how the effect of medication can be diagnosed. The other two involve automotive applications. They were derived from industrial products created by Expert Informatik GmbH over the years 1989 to 1992.<<ETX>>\",\"PeriodicalId\":390273,\"journal\":{\"name\":\"CompEuro 1992 Proceedings Computer Systems and Software Engineering\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CompEuro 1992 Proceedings Computer Systems and Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPEUR.1992.218438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CompEuro 1992 Proceedings Computer Systems and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPEUR.1992.218438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diagnosis is an important part of the product quality assurance cycle. The construction of diagnosis systems with neural nets, which solves problems hitherto unsolved, creates effective real-time opportunities, and a new level of robustness is discussed. The application of neural nets is illustrated in three examples. The first example shows how the effect of medication can be diagnosed. The other two involve automotive applications. They were derived from industrial products created by Expert Informatik GmbH over the years 1989 to 1992.<>
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