{"title":"一个用于模糊学习的加速卡","authors":"M. Russo, G. V. Russo, C. Petta, N. Randaazo","doi":"10.1109/ISNFS.1996.603819","DOIUrl":null,"url":null,"abstract":"In this paper we present a fuzzy multiprocessor card which is capable of significantly increasing the performance, in terms of time, of a generic fuzzy inference learning algorithm based on techniques that do not use the derivative of the function to be learned, such as genetic algorithms.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An accelerator card for fuzzy learning\",\"authors\":\"M. Russo, G. V. Russo, C. Petta, N. Randaazo\",\"doi\":\"10.1109/ISNFS.1996.603819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a fuzzy multiprocessor card which is capable of significantly increasing the performance, in terms of time, of a generic fuzzy inference learning algorithm based on techniques that do not use the derivative of the function to be learned, such as genetic algorithms.\",\"PeriodicalId\":187481,\"journal\":{\"name\":\"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISNFS.1996.603819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISNFS.1996.603819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we present a fuzzy multiprocessor card which is capable of significantly increasing the performance, in terms of time, of a generic fuzzy inference learning algorithm based on techniques that do not use the derivative of the function to be learned, such as genetic algorithms.
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