{"title":"三个版本的数字硬件实现了一个多层感知器在0.7 /spl mu/ cmos的设计","authors":"V. Tryba, B. Kiziloglu","doi":"10.1109/CNNA.1996.566607","DOIUrl":null,"url":null,"abstract":"In this paper, three versions of an implementation of a multi-layer perceptron as a neural ASIC are presented. A fully parallel version with 9 neurons as a fast version, a version with sequential processing inside the neurons, and a version with one fast neuron which is multiplexed. The three versions are compared in size and speed.","PeriodicalId":222524,"journal":{"name":"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three versions of a digital hardware implementation of a multi-layer perceptron in 0.7 /spl mu/ CMOS-design\",\"authors\":\"V. Tryba, B. Kiziloglu\",\"doi\":\"10.1109/CNNA.1996.566607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, three versions of an implementation of a multi-layer perceptron as a neural ASIC are presented. A fully parallel version with 9 neurons as a fast version, a version with sequential processing inside the neurons, and a version with one fast neuron which is multiplexed. The three versions are compared in size and speed.\",\"PeriodicalId\":222524,\"journal\":{\"name\":\"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.1996.566607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 Fourth IEEE International Workshop on Cellular Neural Networks and their Applications Proceedings (CNNA-96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1996.566607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three versions of a digital hardware implementation of a multi-layer perceptron in 0.7 /spl mu/ CMOS-design
In this paper, three versions of an implementation of a multi-layer perceptron as a neural ASIC are presented. A fully parallel version with 9 neurons as a fast version, a version with sequential processing inside the neurons, and a version with one fast neuron which is multiplexed. The three versions are compared in size and speed.