{"title":"一类神经模糊调节因子的分析","authors":"Z. Durovic, B. Kovačević, V. Papic","doi":"10.1109/NEUREL.2002.1057975","DOIUrl":null,"url":null,"abstract":"The analysis of a class of neuro-fuzzy regulators, called ANFIS (adaptive neuro-fuzzy inherited systems), is presented in the paper. The overview of its structure and the training process is included. One example of nonlinear system is also used to illustrate the feasibility and the limits of this class of regulators.","PeriodicalId":347066,"journal":{"name":"6th Seminar on Neural Network Applications in Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of one class of neuro-fuzzy regulators\",\"authors\":\"Z. Durovic, B. Kovačević, V. Papic\",\"doi\":\"10.1109/NEUREL.2002.1057975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of a class of neuro-fuzzy regulators, called ANFIS (adaptive neuro-fuzzy inherited systems), is presented in the paper. The overview of its structure and the training process is included. One example of nonlinear system is also used to illustrate the feasibility and the limits of this class of regulators.\",\"PeriodicalId\":347066,\"journal\":{\"name\":\"6th Seminar on Neural Network Applications in Electrical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"6th Seminar on Neural Network Applications in Electrical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NEUREL.2002.1057975\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th Seminar on Neural Network Applications in Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NEUREL.2002.1057975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The analysis of a class of neuro-fuzzy regulators, called ANFIS (adaptive neuro-fuzzy inherited systems), is presented in the paper. The overview of its structure and the training process is included. One example of nonlinear system is also used to illustrate the feasibility and the limits of this class of regulators.
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