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Cellular neural networks: Theory and circuit design. (English) Zbl 0775.92008


MSC:

92B20 Neural networks for/in biological studies, artificial life and related topics
94C10 Switching theory, application of Boolean algebra; Boolean functions (MSC2010)
Full Text: DOI

References:

[1] Chua, IEEE Trans. Circuits and Systems CAS-35 pp 1257– (1988)
[2] and , ’Exploiting cellular automata in the design of cellular neural networks for binary image processing’, ERL Memo UCB/ERL M89/130, University of California, Berkeley, November 1989.
[3] Ordinary Differential Equations, MIT Press, Cambridge, MA, 1973.
[4] Hirsch, Neural Networks 2 pp 331– (1989)
[5] and , ’Convergence of reciprocal cellular neural networks’, Technical Report TUM-LNS-TR-91-12, Technical University of Munich, June 1991.
[6] Chua, IEEE Trans. Circuits and Systems CAS-37 pp 1520– (1990)
[7] Tsividis, IEEE Trans. Circuits and Systems CAS-33 pp 125– (1986)
[8] Vector Analysis, Schaum’s Outline, McGraw-Hill, New York, 1982.
[9] and , Linear and Nonlinear Circuits, McGraw-Hill, New York, 1987. · Zbl 0631.94017
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.