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Pseudo Almost Periodic Solutions for MAMs with an Oscillating Coefficient and Distributed Delays

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Abstract

This paper concerns with the pseudo almost periodic solutions for a multidirectional associative memory neural network with an oscillating coefficient and distributed delays. By applying contraction mapping fixed point theorem and differential inequality techniques, we establish some sufficient conditions for the existence and exponential stability of pseudo almost periodic solutions for the model considered in this work, which complement with all results in Zhou et al. (Math Comput Simul 107:52–60, 2015). Moreover, an example and its numerical simulation are given to support the theoretical results.

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References

  1. Hattori M, Hagiwara M (1998) Multimodule associative memory for many-to-many associations. Neurocomputing 19:99–119

    Article  Google Scholar 

  2. Hattori M, Hagiwara M (2000) Associative memory for intelligent control. Math Comput Simul 51:349–374

    Article  MathSciNet  Google Scholar 

  3. Huang J, Hagiwara M (2002) A combined multi-winner multidirectional associative memory. Neurocomputing 48:369–389

    Article  MATH  Google Scholar 

  4. Hagiwara QM (1990) Multidirectional associative. In: Proceedings of international joint conference on neural networks, vol 1, Washington, DC, pp 3–6

  5. Chen S, Gao H (1998) Multivalued exponential multidirectional associative memory. J Softw 9:397–400 (in Chinese)

    Google Scholar 

  6. Hattori M, Hagiwara M, Nakagawa M (1992) Improved multidirectional associative memories for training sets including common terms. In: Proceedings of international joint conference on neural networks, vol 2, Baltimore, pp 172–177

  7. Fink AM (1974) Almost periodic differential equations. Lecture Notes in Mathematics, vol 377. Springer, Berlin

    Book  Google Scholar 

  8. Zhang C (2003) Almost periodic type functions and ergodicity. Kluwer Academic/Science Press, Beijing

    Book  MATH  Google Scholar 

  9. NGu érékata GM (2001) Almost automorphic functions and almost periodic functions in abstract spaces. Kluwer, New York

    Book  Google Scholar 

  10. Xu Y (2017) Weighted pseudo-almost periodic delayed cellular neural networks. Neural Comput Appl. https://doi.org/10.1007/s00521-016-2820-8

    Google Scholar 

  11. Xu Y (2017) Exponential stability of weighted pseudo almost periodic solutions for HCNNs with mixed delays. Neural Process Lett. https://doi.org/10.1007/s11063-017-9595-5

    Google Scholar 

  12. Zhang A (2017) Almost periodic solutions for SICNNs with neutral type proportional delays and D operators. Neural Process Lett. https://doi.org/10.1007/s11063-017-9631-5

    Google Scholar 

  13. Xu Y (2017) Exponential stability of pseudo almost periodic solutions for neutral type cellular neural networks with D operator. Neural Process Lett 46:329–342

    Article  Google Scholar 

  14. Xu Y (2017) Exponential stability of pseudo almost periodic solutions for neutral type cellular neural networks with D operator. Neural Process Lett. https://doi.org/10.1007/s11063-017-9584-8

    Google Scholar 

  15. Liu B, Huang L (2005) Existence and exponential stability of almost periodic solutions for cellular neural networks with time-varying delays. Phys Lett A 341(1–4):135–144

    Article  MATH  Google Scholar 

  16. Liu B, Huang L (2008) Positive almost periodic solutions for recurrent neural networks. Nonlinear Anal Real World Appl 9:830–841

    Article  MathSciNet  MATH  Google Scholar 

  17. Lu W, Chen T (2005) Global exponential stability of almost periodic solutions for a large class of delayed dynamical systems. Sci China Ser A 8(48):1015–1026

    Article  MathSciNet  MATH  Google Scholar 

  18. Xu Y (2014) New results on almost periodic solutions for CNNs with time-varying leakage delays. Neural Comput Appl 25:1293–1302

    Article  Google Scholar 

  19. Zhang H, Shao J (2013) Existence and exponential stability of almost periodic solutions for CNNs with time-varying leakage delays. Neurocomputing 121(9):226–233

    Article  Google Scholar 

  20. Zhang H, Shao J (2013) Almost periodic solutions for cellular neural networks with time-varying delays in leakage terms. Appl Math Comput 219(24):11471–11482

    MathSciNet  MATH  Google Scholar 

  21. Zhang H (2014) Existence and stability of almost periodic solutions for CNNs with continuously distributed leakage delays. Neural Comput Appl 2014(24):1135–1146

    Article  Google Scholar 

  22. Liu B, Tunc C (2015) Pseudo almost periodic solutions for CNNs with leakage delays and complex deviating arguments. Neural Comput Appl 26:429–435

    Article  Google Scholar 

  23. Liu B (2015) Pseudo almost periodic solutions for neutral type CNNs with continuously distributed leakage delays. Neurocomputing 148:445–454

    Article  Google Scholar 

  24. Wang W, Liu B (2014) Global exponential stability of pseudo almost periodic solutions for SICNNs with time-varying leakage delays. Abstr Appl Anal 2014(967328):1–18

    MathSciNet  MATH  Google Scholar 

  25. Zhou T, Wang M, Li C (2015) Almost periodic solution for multidirectional associative memory neural network with distributed delays. Math Comput Simul 107:52–60

    Article  MathSciNet  Google Scholar 

  26. Liu B (2017) Finite-time stability of CNNs with neutral proportional delays and time-varying leakage delays. Math Methods Appl Sci 40:167–174

    Article  MathSciNet  MATH  Google Scholar 

  27. Duan L, Huang L (2013) Global exponential stability of fuzzy BAM neural networks with distributed delays and time-varying delays in the leakage terms. Neural Comput Appl 23(1):171–178

    Article  Google Scholar 

  28. Liu X (2016) Improved convergence criteria for HCNNs with delays and oscillating coefficients in leakage terms. Neural Comput Appl 27(4):917–925

    Article  Google Scholar 

  29. Duan L, Huang L, Guo Z, Fang X (2017) Periodic attractor for reaction–diffusion high-order Hopfield neural networks with time-varying delays. Comput Math Appl 73(2):233–245

    Article  MathSciNet  MATH  Google Scholar 

  30. Liu X (2015) Exponential convergence of SICNNs with delays and oscillating coefficients in leakage terms. Neurocomputing 168:500–504

    Article  Google Scholar 

  31. Long Z (2016) New results on anti-periodic solutions for SICNNs with oscillating coefficients in leakage terms. Neurocomputing 171(1):503–509

    Article  Google Scholar 

  32. Berezansky L, Braverman E (2009) On exponential stability of a linear delay differential equation with an oscillating coefficient. Appl Math Lett 22:1833–1837

    Article  MathSciNet  MATH  Google Scholar 

  33. Zhang C (1995) Pseudo almost periodic solutions of some differential equations II. J Math Anal Appl 192:543–561

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

The author would like to express his sincere appreciation to the editor and reviewers for their helpful comments in improving the presentation and quality of the paper. This work was supported by the Natural Scientific Research Fund of Hunan Province of China (Grant Nos. 2018JJ2194, 2018JJ2372), and a key project supported by Scientific Research Fund of Hunan Provincial Education Department (15A038).

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Correspondence to Zhiwen Long.

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Long, Z. Pseudo Almost Periodic Solutions for MAMs with an Oscillating Coefficient and Distributed Delays. Neural Process Lett 49, 467–479 (2019). https://doi.org/10.1007/s11063-018-9824-6

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