Skip to main content
SpringerLink
Log in

Neural Networks-Based Real-Time Determination of the Laser Beam Spatial Profile and Vibrational-to-Translational Relaxation Time Within Pulsed Photoacoustics

  • Published:
International Journal of Thermophysics Aims and scope Submit manuscript

Abstract

This paper concerns with the possibilities of computational intelligence application for simultaneous determination of the laser beam spatial profile and vibrational-to-translational relaxation time of the polyatomic molecules in gases by pulsed photoacoustics. Results regarding the application of neural computing through the use of feed-forward multilayer perception networks are presented. Feed-forward multilayer perception networks are trained in an offline batch training regime to estimate simultaneously, and in real-time, the laser beam spatial profile (profile shape class) and the vibrational-to-translational relaxation time from given (theoretical) photoacoustic signals. The proposed method significantly shortens the time required for the simultaneous determination of the laser beam spatial profile and relaxation time and has the advantage of accurately calculating the aforementioned quantities.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. M.D. Rabasovic, J. Nikolic, D.D. Markushev, Appl. Phys. B 88, 309 (2007)

    Article  ADS  Google Scholar 

  2. M.D. Rabasovic, D.D. Markushev, Meas. Sci. Technol. 21, 065603 (2010)

    Article  ADS  Google Scholar 

  3. D. Petković, Ž. Ćojbašić, Neural Comput. Appl. (2011). doi:10.1007/s00521-011-0629-z

  4. D. Tanikić, M. Manić, G. Devedžić, Ž. Ćojbašić, Neural Netw. World 20, 171 (2010)

    Google Scholar 

  5. K.M. Beck, R.J. Gordon, J. Chem. Phys. 89, 5560 (1988)

    Article  ADS  Google Scholar 

  6. M.W. Sigrist, J. Appl. Phys. 60, R83 (1986)

    Article  ADS  Google Scholar 

  7. M.D. Rabasovic, D.D. Markushev, Meas. Sci. Technol. 17, 2938 (2006)

    Article  ADS  Google Scholar 

  8. K. Beck, A. Ringwelski, R.J. Gordon, Chem. Phys. Lett. 121, 529 (1985)

    Article  ADS  Google Scholar 

  9. G. Dreyfus, Neural Networks: Methodology and Applications (Birkhäuser-Springer, Berlin, 2005)

    Google Scholar 

  10. M.T. Hagan, H.B. Demuth, M.H. Beale, Neural Network Design (PWS, Boston, 1996)

    Google Scholar 

  11. M.T. Hagan, M. Menhaj, IEEE Trans. Neural Netw. 5, 989 (1994)

    Article  Google Scholar 

  12. M.F. Moller, Neural Netw. 6, 525 (1993)

    Article  Google Scholar 

  13. Ž. Ćojbašić, V. Nikolić, I. Ćirić, Lj. Ćojbašić. Therm. Sci. 15, 321 (2011)

    Google Scholar 

  14. D. Lazić, Ž. Ćojbašić, M. Ristanović, Facta Univ. 10, 71 (2011)

    Google Scholar 

Download references

Acknowledgments

This research was supported by the Ministry of Education and Science of the Republic of Serbia within the framework of Project Nos. 171016 and TR035016.

Author information

Authors and Affiliations

  1. Faculty of Occupational Safety, University of Niš, Čarnojevića 10A, 18000 , Niš, Serbia

    M. Lukić

  2. Mechanical Engineering Faculty, University of Niš, Aleksandra Medvedeva 14, 18000 , Niš, Serbia

    Ž. Ćojbašić

  3. Institute of Physics, University of Belgrade, Pregrevica 118, Zemun, Belgrade, Serbia

    M. D. Rabasović & D. D. Markushev

  4. Institute for Multidisciplinary Research, University of Belgrade, P.O. Box 33, 11030 , Belgrade, Serbia

    D. M. Todorović

Authors
  1. M. Lukić
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ž. Ćojbašić
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. D. Rabasović
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. D. D. Markushev
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. D. M. Todorović
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to D. D. Markushev.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lukić, M., Ćojbašić, Ž., Rabasović, M.D. et al. Neural Networks-Based Real-Time Determination of the Laser Beam Spatial Profile and Vibrational-to-Translational Relaxation Time Within Pulsed Photoacoustics. Int J Thermophys 34, 1795–1802 (2013). https://doi.org/10.1007/s10765-013-1507-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10765-013-1507-y

Keywords

Search

Navigation