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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2019

23.04.2018

Homoclinical Structure of Retarded SICNNs with Rectangular Input Currents

verfasst von: Mehmet Onur Fen, Fatma Tokmak Fen

Erschienen in: Neural Processing Letters | Ausgabe 2/2019

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Abstract

The dynamics of retarded shunting inhibitory cellular neural networks (SICNNs) with rectangular input currents is investigated from the asymptotic point of view. It is rigorously proved that such networks possess homoclinic and heteroclinic outputs under certain conditions. Illustrative examples that support the theoretical results are provided. Moreover, the extension of the homoclinical structure is numerically demonstrated for unidirectionally coupled retarded SICNNs.
Vorheriger Artikel Discriminative Representation Learning with Supervised Auto-encoder
Nächster Artikel Sparsity Regularization Discriminant Projection for Feature Extraction

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Metadaten
Titel
Homoclinical Structure of Retarded SICNNs with Rectangular Input Currents
verfasst von
Mehmet Onur Fen
Fatma Tokmak Fen
Publikationsdatum
23.04.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9832-6

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