Equivariant bifurcation in a coupled complex-valued neural network rings
• Complex value Hopfield-type network with Z4 × Z2 symmetry is discussed. • The spatio-temporal patterns of bifurcating periodic oscillations are obtained. • The oscillations can be in phase or anti-phase depending on the parameters and delay.
Gespeichert in:
| Autor*in: |
Zhang, Chunrui [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: Extensive study of newly developed highly dense transparent PbO-WO - Sayyed, M.I. ELSEVIER, 2019, applications in science and engineering, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:98 ; year:2017 ; pages:22-30 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.chaos.2017.03.009 |
|---|
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ELV025465392 |
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Equivariant bifurcation in a coupled complex-valued neural network rings |
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• Complex value Hopfield-type network with Z4 × Z2 symmetry is discussed. • The spatio-temporal patterns of bifurcating periodic oscillations are obtained. • The oscillations can be in phase or anti-phase depending on the parameters and delay. |
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• Complex value Hopfield-type network with Z4 × Z2 symmetry is discussed. • The spatio-temporal patterns of bifurcating periodic oscillations are obtained. • The oscillations can be in phase or anti-phase depending on the parameters and delay. |
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• Complex value Hopfield-type network with Z4 × Z2 symmetry is discussed. • The spatio-temporal patterns of bifurcating periodic oscillations are obtained. • The oscillations can be in phase or anti-phase depending on the parameters and delay. |
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