THERMAL SCIENCE

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Münevver Tuz

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Gülden Altay Suroğlu

ANTI-PERIODIC SOLUTIONS FOR FRACTIONAL-ORDER BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH DELAYS

ABSTRACT
This paper concerns fractional-order bidirectional associative memory (BAM) neural networks (NN) with distributed delays. Based on inequality technique and Lyapunov functional method, some novel sufficient conditions are obtained for the existence and exponential stability of anti-periodic (AP) solutions are established. An example is given to show the feasibility main results.
KEYWORDS
Delays, AP, global exponential stability, fractional differential equation, BAM NNs, existence
PAPER SUBMITTED: 2019-08-05
PAPER REVISED: 2019-10-11
PAPER ACCEPTED: 2019-10-15
PUBLISHED ONLINE: 2019-11-02
DOI REFERENCE: https://doi.org/10.2298/TSCI190805406T
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2019, VOLUME 23, ISSUE Supplement 6, PAGES [S2169 - S2177]
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Anti-periodic solutions for fractional-order bidirectional associative memory neural networks with delays

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