Binary output of cellular neural networks with smooth activation

Author(s)

Andrew, Lachlan L. H.

Available versions

Abstract

An important property of cellular neural networks (CNNs) is the binary output property, that, when the self-feedback is greater than one, the final activations are ۫ 1. This brief considers the generalization of this property to networks with sigmoidal output functions. It is shown that in this case the property cannot be stated without reference to the cross feedback, and conditions are found under which the property remains valid.

Publication year

1997

Publication type

Journal article

Source

IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 44, no. 9 (Sep 1997), pp. 821-824

ISSN

1057-7122

Publisher

IEEE

Copyright

Copyright © 1997 IEEE. Paper is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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