{"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}
引用次数: 0
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.