Behavioral testing of cellular neural networks

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Abstract

This paper addresses the functional behavior of Cellular Neural Networks (CNN). The impact of variable convergence times on the proper operation of the network is discussed A test method is presented to determine the functionality of the network. The function fault models assume that the cells are unable to switch between limiting states. The proposed method attains 100% stuck-at fault coverage without any extra hardware for its implementation. Moreover, the required number of test vectors is constant and independent of the array size which makes it suitable for practical implementations. The paper discusses the new fault model, presents the algorithmic procedures and shows simulated testing results
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
Pages229-232
Volume6
ISBN (Print)0-7803-1915-X
DOIs
Publication statusPublished - 1994
Externally publishedYes

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