{"title":"将模糊聚类神经网络映射到收缩阵列","authors":"D. Zhang, M. Kamel, M. Elmasry","doi":"10.1109/FUZZY.1994.343683","DOIUrl":null,"url":null,"abstract":"In this paper, the implementation of fuzzy clustering neural networks (NN), based on systolic arrays (SA), is explored. Mapping policies from NN to SA are established and some typical SA structures are developed. We illustrate our approach using a mapping of the topology extracted front two fuzzy clustering NNs onto its corresponding SA architecture along with a discussion of data flow and processing element definition in the SA.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Mapping fuzzy clustering neural networks onto systolic arrays\",\"authors\":\"D. Zhang, M. Kamel, M. Elmasry\",\"doi\":\"10.1109/FUZZY.1994.343683\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the implementation of fuzzy clustering neural networks (NN), based on systolic arrays (SA), is explored. Mapping policies from NN to SA are established and some typical SA structures are developed. We illustrate our approach using a mapping of the topology extracted front two fuzzy clustering NNs onto its corresponding SA architecture along with a discussion of data flow and processing element definition in the SA.<<ETX>>\",\"PeriodicalId\":153967,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1994.343683\",\"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 1994 IEEE 3rd International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1994.343683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, the implementation of fuzzy clustering neural networks (NN), based on systolic arrays (SA), is explored. Mapping policies from NN to SA are established and some typical SA structures are developed. We illustrate our approach using a mapping of the topology extracted front two fuzzy clustering NNs onto its corresponding SA architecture along with a discussion of data flow and processing element definition in the SA.<>