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Design of cellular neural networks with space-invariant cloning template

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2 Author(s)
Zanjun Lu ; Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA ; Liu, D.

This paper presents a new synthesis procedure (design algorithm) for cellular neural networks with space-invariant cloning template with applications to associative memories. In the present synthesis procedure, the design problem is formulated as a set of linear inequalities and the inequalities are solved using the well-known perceptron training algorithm. When the desired memory patterns are given by a set of bipolar vectors, it is guaranteed that a cellular neural network with a space-invariant cloning template can be designed using the design algorithm developed herein. A specific example is included to demonstrate the applicability of the methodology developed

Published in:

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on  (Volume:3 )

Date of Conference:

31 May-3 Jun 1998