DocumentCode
1551038
Title
Binary output of cellular neural networks with smooth activation
Author
Andrew, Lachlan L H
Author_Institution
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Volume
44
Issue
9
fYear
1997
fDate
9/1/1997 12:00:00 AM
Firstpage
821
Lastpage
824
Abstract
An important property of cellular neural networks (CNN´s) 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
Keywords
cellular neural nets; recurrent neural nets; transfer functions; binary output property; cellular neural networks; cross feedback; final activations; self-feedback; sigmoidal output functions; smooth activation; Cellular neural networks; Neural network hardware; Neural networks; Neurofeedback; Neurons; Output feedback; Piecewise linear approximation; Piecewise linear techniques; State feedback; Vectors;
fLanguage
English
Journal_Title
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher
ieee
ISSN
1057-7122
Type
jour
DOI
10.1109/81.622985
Filename
622985
Link To Document