{"title":"一种改进的汉明神经网络","authors":"Wei Lu, Zhijian Li, B. Shi","doi":"10.1109/ICSICT.1995.503393","DOIUrl":null,"url":null,"abstract":"A modified Hamming neural network and its integrated circuit model are presented. The network consists of a template matching circuit and a \"Winner-Take-All\" (WTA) circuit. Simulation shows that it has high precision, high speed and low power dissipation. It can be used to recognize handwritten digits.","PeriodicalId":286176,"journal":{"name":"Proceedings of 4th International Conference on Solid-State and IC Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A modified Hamming neural network\",\"authors\":\"Wei Lu, Zhijian Li, B. Shi\",\"doi\":\"10.1109/ICSICT.1995.503393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A modified Hamming neural network and its integrated circuit model are presented. The network consists of a template matching circuit and a \\\"Winner-Take-All\\\" (WTA) circuit. Simulation shows that it has high precision, high speed and low power dissipation. It can be used to recognize handwritten digits.\",\"PeriodicalId\":286176,\"journal\":{\"name\":\"Proceedings of 4th International Conference on Solid-State and IC Technology\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"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.1995.503393\",\"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.1995.503393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A modified Hamming neural network and its integrated circuit model are presented. The network consists of a template matching circuit and a "Winner-Take-All" (WTA) circuit. Simulation shows that it has high precision, high speed and low power dissipation. It can be used to recognize handwritten digits.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
