{"title":"Some properties on a class of neuro-fuzzy learning algorithms","authors":"Yan Shi, M. Mizumoto","doi":"10.1109/ICIMA.2004.1384212","DOIUrl":null,"url":null,"abstract":"In this paper, we try to analyze two kind; of conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties. Some of these properties show that uses of the conventional neuro-fuzzy learning algorithms are sometimes dillicult or inconvenient for constructing an optimal fuzzy system model in practical fuzzy applications.","PeriodicalId":375056,"journal":{"name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMA.2004.1384212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we try to analyze two kind; of conventional neuro-fuzzy learning algorithms, which are widely used in recent fuzzy applications for tuning fuzzy rules, and give a summarization of their properties. Some of these properties show that uses of the conventional neuro-fuzzy learning algorithms are sometimes dillicult or inconvenient for constructing an optimal fuzzy system model in practical fuzzy applications.
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