Tagaki-Sugeno模糊系统的实验选择及逼近精度分析

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397) Pub Date : 1999-06-10 DOI:10.1109/NAFIPS.1999.781680

F. Benmakrouha, P. Glorennec

{"title":"Tagaki-Sugeno模糊系统的实验选择及逼近精度分析","authors":"F. Benmakrouha, P. Glorennec","doi":"10.1109/NAFIPS.1999.781680","DOIUrl":null,"url":null,"abstract":"We are concerned with two important points in identification of fuzzy systems, namely choosing training data for optimal coverage of input space and establishing approximation error bounds. We present a method to determine a good distribution of experimental data and we establish in this case approximation bound errors.","PeriodicalId":335957,"journal":{"name":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Choice of experiments and analysis of approximation accuracy in a Tagaki-Sugeno fuzzy system\",\"authors\":\"F. Benmakrouha, P. Glorennec\",\"doi\":\"10.1109/NAFIPS.1999.781680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are concerned with two important points in identification of fuzzy systems, namely choosing training data for optimal coverage of input space and establishing approximation error bounds. We present a method to determine a good distribution of experimental data and we establish in this case approximation bound errors.\",\"PeriodicalId\":335957,\"journal\":{\"name\":\"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAFIPS.1999.781680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAFIPS.1999.781680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

我们关注模糊系统辨识中的两个重要问题，即选择最优覆盖输入空间的训练数据和建立近似误差界。我们提出了一种确定实验数据良好分布的方法，并在这种情况下建立了近似界误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Choice of experiments and analysis of approximation accuracy in a Tagaki-Sugeno fuzzy system

We are concerned with two important points in identification of fuzzy systems, namely choosing training data for optimal coverage of input space and establishing approximation error bounds. We present a method to determine a good distribution of experimental data and we establish in this case approximation bound errors.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397)

自引率

0.00%

发文量