Existence and global exponential stability of periodic solution of high-order Cohen-Grossberg neural network with impulses | Zendy

Jing Liu | Zendy

Open Access

Existence and global exponential stability of periodic solution of high-order Cohen-Grossberg neural network with impulses

Author(s) -

Jing Liu

Publication year - 2009

Publication title -

demonstratio mathematica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.541

H-Index - 28

eISSN - 2391-4661

pISSN - 0420-1213

DOI - 10.1515/dema-2013-0154

Subject(s) - coincidence , mathematics , exponential stability , degree (music) , artificial neural network , stability (learning theory) , order (exchange) , exponential function , mathematical analysis , computer science , nonlinear system , artificial intelligence , machine learning , physics , medicine , alternative medicine , finance , pathology , quantum mechanics , acoustics , economics

Sufficient conditions are obtained for the existence and global exponential stability of periodic solution of high-order Cohen-Grossberg neural network with impulses by using Mawhin’s continuation theorem of coincidence degree and by means of a method based differential inequality.

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