{"title":"细胞神经网络的区域高效实现","authors":"K. K. Lai, P. Leong","doi":"10.1109/ANNES.1995.499437","DOIUrl":null,"url":null,"abstract":"A time multiplexing scheme for implementing cellular neural networks (CNN) is described. This scheme makes it possible to realise much higher density implementations of CNNs in VLSI circuits. A circuit implementation of this technique is presented along with simulation results.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"An area efficient implementation of a cellular neural network\",\"authors\":\"K. K. Lai, P. Leong\",\"doi\":\"10.1109/ANNES.1995.499437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A time multiplexing scheme for implementing cellular neural networks (CNN) is described. This scheme makes it possible to realise much higher density implementations of CNNs in VLSI circuits. A circuit implementation of this technique is presented along with simulation results.\",\"PeriodicalId\":123427,\"journal\":{\"name\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANNES.1995.499437\",\"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 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANNES.1995.499437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An area efficient implementation of a cellular neural network
A time multiplexing scheme for implementing cellular neural networks (CNN) is described. This scheme makes it possible to realise much higher density implementations of CNNs in VLSI circuits. A circuit implementation of this technique is presented along with simulation results.