O. Arellano-Cárdenas, H. Molina-Lozano, J. Moreno-Cadenas, F. Gómez-Castañeda, L. M. Flores-Nava
{"title":"基于ANFIS的CMOS模拟神经模糊原型","authors":"O. Arellano-Cárdenas, H. Molina-Lozano, J. Moreno-Cadenas, F. Gómez-Castañeda, L. M. Flores-Nava","doi":"10.1109/ISCAS.2000.856163","DOIUrl":null,"url":null,"abstract":"The architecture called ANFIS (Adaptive Neuro-Fuzzy Inference System) proposed by J.R. Jang (1993) is divided in five layers. Layers 1 and 2 in ANFIS were built by using a double-differential amplifier and a winner takes all circuit; to implement layers 3, 4 and 5, CMOS translinear blocks are used. The complete ANFIS architecture is implemented on a circuit board, using two CMOS circuits (N-well and 2 /spl mu/m minimum dimensions). The total system has two inputs with three membership functions each one, which generate a fuzzy space with nine subspaces and one single output. The system is used for classification of electrical signals.","PeriodicalId":6422,"journal":{"name":"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2000-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"CMOS analog neurofuzzy prototype based on ANFIS\",\"authors\":\"O. Arellano-Cárdenas, H. Molina-Lozano, J. Moreno-Cadenas, F. Gómez-Castañeda, L. M. Flores-Nava\",\"doi\":\"10.1109/ISCAS.2000.856163\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The architecture called ANFIS (Adaptive Neuro-Fuzzy Inference System) proposed by J.R. Jang (1993) is divided in five layers. Layers 1 and 2 in ANFIS were built by using a double-differential amplifier and a winner takes all circuit; to implement layers 3, 4 and 5, CMOS translinear blocks are used. The complete ANFIS architecture is implemented on a circuit board, using two CMOS circuits (N-well and 2 /spl mu/m minimum dimensions). The total system has two inputs with three membership functions each one, which generate a fuzzy space with nine subspaces and one single output. The system is used for classification of electrical signals.\",\"PeriodicalId\":6422,\"journal\":{\"name\":\"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.2000.856163\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.2000.856163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The architecture called ANFIS (Adaptive Neuro-Fuzzy Inference System) proposed by J.R. Jang (1993) is divided in five layers. Layers 1 and 2 in ANFIS were built by using a double-differential amplifier and a winner takes all circuit; to implement layers 3, 4 and 5, CMOS translinear blocks are used. The complete ANFIS architecture is implemented on a circuit board, using two CMOS circuits (N-well and 2 /spl mu/m minimum dimensions). The total system has two inputs with three membership functions each one, which generate a fuzzy space with nine subspaces and one single output. The system is used for classification of electrical signals.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
