{"title":"用于模式识别的多输入模糊处理器","authors":"Liusheng Liu, Zhijian Li, B. Shi","doi":"10.1109/ICSICT.1995.499646","DOIUrl":null,"url":null,"abstract":"A multi-input fuzzy processor for pattern recognition is proposed. It accepts multiple inputs that represent multiple features of an unknown pattern in time-shared way. Membership function generators generate memberships corresponding to each standard pattern according to the input features. Switched-capacitor accumulators sum multiple memberships to get synthetic memberships. Finally, WTA (Winner-Take-All) circuit finds the maximum synthetic membership and the recognition result is obtained.","PeriodicalId":286176,"journal":{"name":"Proceedings of 4th International Conference on Solid-State and IC Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A multi-input fuzzy processor for pattern recognition\",\"authors\":\"Liusheng Liu, Zhijian Li, B. Shi\",\"doi\":\"10.1109/ICSICT.1995.499646\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A multi-input fuzzy processor for pattern recognition is proposed. It accepts multiple inputs that represent multiple features of an unknown pattern in time-shared way. Membership function generators generate memberships corresponding to each standard pattern according to the input features. Switched-capacitor accumulators sum multiple memberships to get synthetic memberships. Finally, WTA (Winner-Take-All) circuit finds the maximum synthetic membership and the recognition result is obtained.\",\"PeriodicalId\":286176,\"journal\":{\"name\":\"Proceedings of 4th International Conference on Solid-State and IC Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 4th International Conference on Solid-State and IC Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSICT.1995.499646\",\"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 4th International Conference on Solid-State and IC Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSICT.1995.499646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-input fuzzy processor for pattern recognition
A multi-input fuzzy processor for pattern recognition is proposed. It accepts multiple inputs that represent multiple features of an unknown pattern in time-shared way. Membership function generators generate memberships corresponding to each standard pattern according to the input features. Switched-capacitor accumulators sum multiple memberships to get synthetic memberships. Finally, WTA (Winner-Take-All) circuit finds the maximum synthetic membership and the recognition result is obtained.
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