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K. Karami and R. Mohebi, “Velocity Curve Analysis of Spectroscopic Binary Stars AI Phe, GM Dra, HD 93917 and V502 Oph by Nonlinear Regression,” Chinese Journal of Astronomy and Astrophysics, Vol. 7, No. 4, 2007, pp. 558-564.

has been cited by the following article:

• TITLE: Application of a Probabilistic Neural Network in Radial Velocity Curve Analysis of the Spectroscopic BinaryStars ROXR1 14, RX J1622.7-2325Nw, RR Lyn, 12 Boo and HR 6169

  AUTHORS: Elahe Ghasemisalehabadi, Touba Rostami, Kamal Ghaderi, Karvan Karimizadeh, Salem Khodamoradi

  KEYWORDS: Stars, Binaries, Eclipsing -- Stars, Binaries, Spectroscopic

  JOURNAL NAME: International Journal of Astronomy and Astrophysics, Vol.1 No.4, December 19, 2011

  ABSTRACT: Using measured radial velocity data of five double-lined spectroscopic binary systems ROXR1 14, RX J1622.7-2325Nw, RR Lyn, 12 Boo and HR 6169, we find corresponding orbital and spectroscopic elements via a Probabilistic Neural Network (PNN). Our numerical results are in good agreement with those obtained by others using more traditional methods.