Skip to main content

Discrete-Time Counterparts of Impulsive Hopfield Neural Networks with Leakage Delays

  • Conference paper
  • First Online:
Differential and Difference Equations with Applications

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 47))

Abstract

A discrete-time counterpart of a class of Hopfield neural networks with impulses and concentrated and infinite distributed delays as well as a small delay in the leakage terms is introduced. Sufficient conditions for the existence and global exponential stability of a unique equilibrium point of the discrete-time system considered are obtained.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gopalsamy, K.: Stability and Oscillations in Delay Differential Equations of Population Dynamics. Kluwer, Dordrecht (1992)

    Book  MATH  Google Scholar 

  2. Gopalsamy, K.: Stability of artificial neural networks with impulses. Appl. Math. Comput. 154, 783–813 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  3. Gopalsamy, K.: Leakage delays in BAM. J. Math. Anal. Appl. 325, 1117–1132 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  4. Hopfield, J.J.: Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. 79, 2554–2558 (1982)

    Article  MathSciNet  Google Scholar 

  5. Hopfield, J.J.: Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Natl. Acad. Sci. 81, 3088–3092 (1984)

    Article  Google Scholar 

  6. Hopfield, J.J., Tank, D.W.: Computing with neural circuits; a model. Science. 233, 625–633 (1986)

    Article  Google Scholar 

  7. Li, X., Fu, X., Balasubramaniam, P., Rakkiyappan, R.: Existence, uniqueness and stability analysis of recurrent neural networks with time delay in the leakage term under impulsive perturbations. Nonlinear Anal. Real World Appl. 11, 4092–4108 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  8. Mohamad, S., Gopalsamy, K.: Dynamics of a class of discrete-time neural networks and their continuous-time counterparts. Math. Comput. Simul. 53, 1–39 (2000)

    Article  MathSciNet  Google Scholar 

  9. Peng, S.: Global attractive periodic solutions of BAM neural networks with continuously distributed delays in the leakage terms. Nonlinear Anal. Real World Appl. 11, 2141–2151 (2010)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valéry Covachev .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this paper

Cite this paper

Akça, H., Covachev, V., Covacheva, Z. (2013). Discrete-Time Counterparts of Impulsive Hopfield Neural Networks with Leakage Delays. In: Pinelas, S., Chipot, M., Dosla, Z. (eds) Differential and Difference Equations with Applications. Springer Proceedings in Mathematics & Statistics, vol 47. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7333-6_28

Download citation

Publish with us

Policies and ethics