{"title":"FuGeNeSys:软件和硬件实现","authors":"M. Russo","doi":"10.1109/KES.1997.616908","DOIUrl":null,"url":null,"abstract":"The author shows the main characteristics of the tool called FuGeNeSys. Using the basic techniques of soft computing, FuGeNeSys allows supervised approximation and classification of multi-input/multi-output systems. It is also shown that by using recent results obtained in the field of fuzzy processors it is possible to design a multiprocessor card which will significantly accelerate the learning process.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"FuGeNeSys: Sw and Hw implementation\",\"authors\":\"M. Russo\",\"doi\":\"10.1109/KES.1997.616908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The author shows the main characteristics of the tool called FuGeNeSys. Using the basic techniques of soft computing, FuGeNeSys allows supervised approximation and classification of multi-input/multi-output systems. It is also shown that by using recent results obtained in the field of fuzzy processors it is possible to design a multiprocessor card which will significantly accelerate the learning process.\",\"PeriodicalId\":166931,\"journal\":{\"name\":\"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KES.1997.616908\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KES.1997.616908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The author shows the main characteristics of the tool called FuGeNeSys. Using the basic techniques of soft computing, FuGeNeSys allows supervised approximation and classification of multi-input/multi-output systems. It is also shown that by using recent results obtained in the field of fuzzy processors it is possible to design a multiprocessor card which will significantly accelerate the learning process.