Ron Levy, S. Lepri, E. Sanchez, Gilles Ritter, M. Sipper
{"title":"技术现状:用于手写数字识别的基于fpga的改进板","authors":"Ron Levy, S. Lepri, E. Sanchez, Gilles Ritter, M. Sipper","doi":"10.1109/EH.2000.869361","DOIUrl":null,"url":null,"abstract":"We describe a completely autonomous evolutionary hardware system, which is able to recognize handwritten decimal digits. The system can adapt itself to different users on the fly. A working prototype has been implemented on an FPGA using VHDL, following the positive results of a C-based simulation.","PeriodicalId":432338,"journal":{"name":"Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"State of the art: an evolving FPGA-based board for handwritten-digit recognition\",\"authors\":\"Ron Levy, S. Lepri, E. Sanchez, Gilles Ritter, M. Sipper\",\"doi\":\"10.1109/EH.2000.869361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a completely autonomous evolutionary hardware system, which is able to recognize handwritten decimal digits. The system can adapt itself to different users on the fly. A working prototype has been implemented on an FPGA using VHDL, following the positive results of a C-based simulation.\",\"PeriodicalId\":432338,\"journal\":{\"name\":\"Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EH.2000.869361\",\"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. The Second NASA/DoD Workshop on Evolvable Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EH.2000.869361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
State of the art: an evolving FPGA-based board for handwritten-digit recognition
We describe a completely autonomous evolutionary hardware system, which is able to recognize handwritten decimal digits. The system can adapt itself to different users on the fly. A working prototype has been implemented on an FPGA using VHDL, following the positive results of a C-based simulation.