{"title":"不同模糊划分参数化策略在梯度下降参数识别中的作用","authors":"Z. Johanyák, S. Kovács","doi":"10.1109/SACI.2007.375499","DOIUrl":null,"url":null,"abstract":"One of the most critical steps during the development of a fuzzy system is the identification of the fuzzy rule base and the fuzzy partitions, the so-called \"tuning\". This paper intends to present a comparative study of three different fuzzy partition parameter identification methods with respect to the effect of different fuzzy partition parameterization strategies.","PeriodicalId":138224,"journal":{"name":"2007 4th International Symposium on Applied Computational Intelligence and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"The Effect of Different Fuzzy Partition Parameterization Strategies in Gradient Descent Parameter Identification\",\"authors\":\"Z. Johanyák, S. Kovács\",\"doi\":\"10.1109/SACI.2007.375499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the most critical steps during the development of a fuzzy system is the identification of the fuzzy rule base and the fuzzy partitions, the so-called \\\"tuning\\\". This paper intends to present a comparative study of three different fuzzy partition parameter identification methods with respect to the effect of different fuzzy partition parameterization strategies.\",\"PeriodicalId\":138224,\"journal\":{\"name\":\"2007 4th International Symposium on Applied Computational Intelligence and Informatics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 4th International Symposium on Applied Computational Intelligence and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2007.375499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 4th International Symposium on Applied Computational Intelligence and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2007.375499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Effect of Different Fuzzy Partition Parameterization Strategies in Gradient Descent Parameter Identification
One of the most critical steps during the development of a fuzzy system is the identification of the fuzzy rule base and the fuzzy partitions, the so-called "tuning". This paper intends to present a comparative study of three different fuzzy partition parameter identification methods with respect to the effect of different fuzzy partition parameterization strategies.