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International Journal of Machine Learning and Cybernetics
Published in: International Journal of Machine Learning and Cybernetics 10/2018

22-04-2017 | Original Article

New results on convergence of fuzzy cellular neural networks with multi-proportional delays

Published in: International Journal of Machine Learning and Cybernetics | Issue 10/2018

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Abstract

In this paper, we propose and study the global exponential convergence of a class of fuzzy cellular neural networks with multi-proportional delays, which has not been studied in the existing literature. Applying the differential inequality technique and Lyapunov functional method, we establish a set of global exponential convergence criteria. The sufficient criteria can be easily tested in practice by simple algebra computations. The obtained results play an important role in designing fuzzy neural networks. Moreover, an illustrative example is given to demonstrate our theoretical results.
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Metadata
Title
New results on convergence of fuzzy cellular neural networks with multi-proportional delays
Publication date
22-04-2017
Published in
International Journal of Machine Learning and Cybernetics / Issue 10/2018
Print ISSN: 1868-8071
Electronic ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-017-0672-x

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