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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 4/2017

11.02.2016 | Original Article

Almost periodic solutions for fuzzy cellular neural networks with multi-proportional delays

verfasst von: Zuda Huang

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 4/2017

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Abstract

In this paper, a class of fuzzy cellular neural networks with multi-proportional delays is investigated. By applying contraction mapping fixed point theorem and differential inequality techniques, some sufficient conditions are established for the existence and global attractivity of a unique almost periodic solution for the model, which improve and supplement existing ones. Moreover, a numerical example is given to illustrate the feasibility and application of the obtained results.
Vorheriger Artikel A ranking method of single valued neutrosophic numbers and its applications to multi-attribute decision making problems
Nächster Artikel An ELM-based model with sparse-weighting strategy for sequential data imbalance problem

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Metadaten
Titel
Almost periodic solutions for fuzzy cellular neural networks with multi-proportional delays
verfasst von
Zuda Huang
Publikationsdatum
11.02.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 4/2017
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-016-0507-1

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