2020
DOI: 10.1186/s13662-020-03069-y
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Periodic solution for neutral-type inertial neural networks with time-varying delays

Abstract: In this paper the problems of the existence and stability of periodic solutions of neutral-type inertial neural networks with time-varying delays are discussed by applying Mawhin’s continuation theorem and Lyapunov functional method. Finally, two numerical examples are given to illustrate our theoretical results.

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Cited by 5 publications
(4 citation statements)
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“…For more details, see, e.g., [19][20][21]. The problems of periodic solutions for neutral-type inertial neural networks with single and multiple variables delays are investigated in [22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…For more details, see, e.g., [19][20][21]. The problems of periodic solutions for neutral-type inertial neural networks with single and multiple variables delays are investigated in [22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Especially in the application of NNs, periodic phenomenon is one of the most important dynamic behaviors to describe the symmetry of the Hopefield neural networks model, and the existence and stability of periodic solutions will help us to understand the asymptotic behavior of mathematical biological systems. Therefore, it is a very meaningful thing to research the existence and stability of periodic solutions [24,32]. However, few researches have discussed the periodic problem of the following NTINNs involving multiple delays:…”
Section: Introductionmentioning
confidence: 99%
“…(2) Under certain assumptions, by exploiting the non-reduced order approach, one new sufficient stability criterion to guarantee the existence and stability of the T-periodic solutions on system (3) is gotten for the first time; (3) NTINNs here are second-order and involve multiple neutral delays, which are different from the traditional NNs [33][34][35][36][37][38][39][40] or INNs [3][4][5][6][7][8][9][11][12][13][14][15][17][18][19][20][21][30][31][32]. Compared with the results on exponential stability for the neutral-type neural networks (NTNNs) [26,29,39,41] and INNs [13,14,18,19], we give the exponential stability of the T-periodic solution for the NTINNs.…”
Section: Introductionmentioning
confidence: 99%
“…After that, more related papers for non-Newtonian filtration equation and related nonlinear equation appeared, see e.g. [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%