Skip to main content
SpringerLink
Log in

Approximation of the Dependence of the Radius of the Atomic Nucleus on Its Parameters Using a Fuzzy Hybrid Network Model

  • Computer Technologies in Physics
  • Published:
Physics of Particles and Nuclei Letters Aims and scope Submit manuscript

Abstract

In the present investigation, the model of the hybrid network in the form of an adaptive system neuro-fuzzy inference is developed for approximating the dependence of the radius of an atomic nucleus vs. its charge and mass number. With the use of developed model, the radii of 84 nuclides for which experimental data on their sizes were not available were estimated.

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

Similar content being viewed by others

References

  1. G. Gamov, “Mass defect and nuclear constitution,” Proc. R. Soc. London A 126, 632–644 (1930). https://doi.org/10.1098/rspa.1930.0032.

    Article  ADS  MATH  Google Scholar 

  2. L. R. B. Elton, Nuclear Sizes (Oxford Univ. Press, Oxford, 1961).

    Google Scholar 

  3. I. Angeli, “Effect of valence nucleons on RMS charge radii and surface thickness,” J. Phys. G: Nucl. Part. Phys. 17, 439–454 (1991). https://doi.org/10.1088/0954-3899/17/4/006.

    Article  ADS  Google Scholar 

  4. E. G. Nadjakov, K. P. Marinova, Y. P. Gangrsky, “Systematics of nuclear charge radii,” At. Data Nucl. Data Tables 56, 133–157 (1994). https://doi.org/10.1006/adnd.1994.1004.

    Article  ADS  Google Scholar 

  5. I. Angeli, Yu. P. Gangrsky, K. P. Marinova, I. N. Boboshin, S. Yu. Komarov, B. S. Ishkhanov, and V. V. Varlamov, “N and Z dependence of nuclear charge radii,” J. Phys. G: Nucl. Part. Phys. 36, 085102–085127 (2009). https://doi.org/10.1088/0954-3899/36/8/085102.

    Article  ADS  Google Scholar 

  6. T. V. Filatova, “Application of neural networks for data approximation,” Vestn. Tomsk. Univ., No. 284, 121–125 (2004).

    Google Scholar 

  7. V. V. Ivanov and E. S. Osetrov, “Forecasting daily passenger traffic volumes in the Moscow metro,” Phys. Part. Nucl. Lett. 15, 107–120 (2018). https://doi.org/10.1134/S1547477118010089.

    Article  Google Scholar 

  8. A. V. Leonenkov, Fuzzy Modeling in MATLAB and fuzzyTECH (BVKh-Peterburg, St. Petersburg, 2005) [in Russian].

    Google Scholar 

  9. N. Ilinykh, L. Kovalyov, T. Prosyankina-Zharova, “Investigation of applicability of fuzzy inference systems for nuclei properties modeling,” Vestn. SibGUTI, No. 4, 86–91 (2016).

    Google Scholar 

  10. I. Angeli, “A consistent set of nuclear rms charge radii: properties of the radius surface R(N,Z),” At. Data Nucl. Data Tables 87, 185–206 (2004). https://doi.org/10.1016/j.adt.2004.04.002.

    Article  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Ural Technical Institute of Telecommunications and Informatics, Yekaterinburg, Russia

    N. J. Ilinykh

  2. Uman National University of Horticulture, Uman, Ukraine

    L. E. Kovalev

Authors
  1. N. J. Ilinykh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. L. E. Kovalev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. J. Ilinykh.

Additional information

Original Russian Text © N.J. Ilinykh, L.E. Kovalev, 2018, published in Pis’ma v Zhurnal Fizika Elementarnykh Chastits i Atomnogo Yadra, 2018.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ilinykh, N.J., Kovalev, L.E. Approximation of the Dependence of the Radius of the Atomic Nucleus on Its Parameters Using a Fuzzy Hybrid Network Model. Phys. Part. Nuclei Lett. 15, 689–692 (2018). https://doi.org/10.1134/S1547477118060080

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1547477118060080

Search

Navigation