{"title":"玻尔兹曼机的VLSI可实现设计","authors":"S. Bhandari, K. Murthy, S.S.S.P. Rao","doi":"10.1109/IJCNN.1992.226914","DOIUrl":null,"url":null,"abstract":"The authors report on a VLSI design for the realization of a Boltzmann machine. It is shown analytically and by the use of simulation results that the acceptance probability function for the proposed design is the same as that of the Boltzmann machine. Using such a design, it is possible to build special purpose hardware for obtaining good solutions for several optimization problems. The acceptance probability characteristics of the Boltzmann machine are analyzed.<<ETX>>","PeriodicalId":286849,"journal":{"name":"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A VLSI implementable design for Boltzmann machine\",\"authors\":\"S. Bhandari, K. Murthy, S.S.S.P. Rao\",\"doi\":\"10.1109/IJCNN.1992.226914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors report on a VLSI design for the realization of a Boltzmann machine. It is shown analytically and by the use of simulation results that the acceptance probability function for the proposed design is the same as that of the Boltzmann machine. Using such a design, it is possible to build special purpose hardware for obtaining good solutions for several optimization problems. The acceptance probability characteristics of the Boltzmann machine are analyzed.<<ETX>>\",\"PeriodicalId\":286849,\"journal\":{\"name\":\"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.1992.226914\",\"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 1992] IJCNN International Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1992.226914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors report on a VLSI design for the realization of a Boltzmann machine. It is shown analytically and by the use of simulation results that the acceptance probability function for the proposed design is the same as that of the Boltzmann machine. Using such a design, it is possible to build special purpose hardware for obtaining good solutions for several optimization problems. The acceptance probability characteristics of the Boltzmann machine are analyzed.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
![[Proceedings 1992] IJCNN International Joint Conference on Neural Networks](/Content/css/sci/img/zetp.jpg)
求助内容：
应助结果提醒方式：
扫码关注我们
