Single-layer CNN simulator

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Abstract

An efficient behavioral simulator for Cellular Neural Networks (CNN) is presented in this paper. The simulator is capable of performing Single-Layer CNN simulations for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This paper reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with numerical integration techniques; simulation results and comparisons are also presented
Original languageEnglish
Title of host publicationProceedings of the 1994 IEEE International Symposium on Circuits and Systems, 1994, ISCAS '94, 30 May - 2 June 1994, London, United Kingdom
Place of PublicationNew York
PublisherInstitute of Electrical and Electronics Engineers
Pages217-220
Volume6
ISBN (Print)0-7803-1915-X
DOIs
Publication statusPublished - 1994
Externally publishedYes

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