Skip to main content

Neuron Operation Using Controlled Chaotic Instabilities in Brillouin-Active Fiber Based Neural Network in Smart Structures

  • Conference paper
Advances in Natural Computation (ICNC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3612))

Included in the following conference series:

Abstract

In this paper the neuron operation using stimulated Brillouin scattering (SBS) in optical fiber is described. The inherent optical feedback by the backscattered Stokes wave in optical fiber leads to instabilities in the form of optical chaos. At low power, the nature of the Brillouin instability can occur below threshold. At high power, the temporal evolution above SBS threshold is periodic and can become chaotic. Control of chaos induced transient instability in Brillouin-active fiber is experimentally implemented with Kerr nonlinearity having a non-instantaneous response in netowork systems. Controlling chaotic instabilities can lead to multistable periodic states; create optical logic ’on’ or high level ”1” or ’off, or low level ”0”. It can be used in neural networks. It can also lead, in principle, to large memory capacity.

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 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Grossman, B., Alavie, T., Ham, F., Franke, F., Thursby, M.: Fiber-optic sensor and smart structures research at Florida Institute of Technology. In: SPIE, vol. 1170, pp. 213–218 (1989)

    Google Scholar 

  2. Koyamada, Y., Sato, S., Nakamura, S., Sotobayashi, H., Chujo, W.: Simulating and Designing Brillouin Gain Spectrum in Single-Mode Fibers. J. of Lightwave Tech. 22(2), 631–639 (2004)

    Article  Google Scholar 

  3. Bernini, R., Minardo, A., Zeni, L.: Stimulated Brillouin scattering frequency-domain analysis in a single-mode optical fiber for distributed sensing. Optics Letters 29(17), 1977–1979 (2004)

    Article  Google Scholar 

  4. Tanemura, T., Takyshima, Y., Kikuchi, K.: Narrowband optical filter, with a variable transmission spectrum, using stimulated Brillouin scattering in optical fiber. Opt. Lett. 27(17), 1552–1554 (2002)

    Article  Google Scholar 

  5. Cotter, D.: Stimulated Brillouin scattering in Monomode Optical Fiber. J. Opt. Com. 4, 10–19 (1983)

    Article  Google Scholar 

  6. Agrawal, G.P.: Nonlinear Fiber Optics, 3rd edn. Academic press, London (2001)

    Google Scholar 

  7. Tariq, S., Habib, M.K.: Neural operation using stimulated Brillouin scattering in optical fiber. Opt. Eng. 37, 1823–1826 (1998)

    Article  Google Scholar 

  8. Yong, K.K., Choon, B.P.: Study of chaotic and instability effect of optical fiber using on the internet. In: SPIE, vol. 5246, pp. 648–655 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kim, YK., Kim, J., Lim, S., Kim, DH. (2005). Neuron Operation Using Controlled Chaotic Instabilities in Brillouin-Active Fiber Based Neural Network in Smart Structures. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539902_133

Download citation

  • DOI: https://doi.org/10.1007/11539902_133

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28320-1

  • Online ISBN: 978-3-540-31863-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics