{"title":"将神经网络映射到网状连接计算机上的分区方案","authors":"P. Liu, L. Martinez","doi":"10.1109/SECON.1994.324329","DOIUrl":null,"url":null,"abstract":"Two new mapping methods for implementing neural networks on parallel mesh-connected processors are given. These are the rectangular region based mapping method and the no zero weight value mapping method. Implementation and performance comparisons with another existing method are carried out. One of these three methods can be used depending on system and problem parameters.<<ETX>>","PeriodicalId":119615,"journal":{"name":"Proceedings of SOUTHEASTCON '94","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Partitioned schemes of mapping neural networks onto mesh connected computers\",\"authors\":\"P. Liu, L. Martinez\",\"doi\":\"10.1109/SECON.1994.324329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two new mapping methods for implementing neural networks on parallel mesh-connected processors are given. These are the rectangular region based mapping method and the no zero weight value mapping method. Implementation and performance comparisons with another existing method are carried out. One of these three methods can be used depending on system and problem parameters.<<ETX>>\",\"PeriodicalId\":119615,\"journal\":{\"name\":\"Proceedings of SOUTHEASTCON '94\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of SOUTHEASTCON '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SECON.1994.324329\",\"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 SOUTHEASTCON '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1994.324329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Partitioned schemes of mapping neural networks onto mesh connected computers
Two new mapping methods for implementing neural networks on parallel mesh-connected processors are given. These are the rectangular region based mapping method and the no zero weight value mapping method. Implementation and performance comparisons with another existing method are carried out. One of these three methods can be used depending on system and problem parameters.<>