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

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.

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E. Ghasemisalehabadi, T. Rostami, K. Ghaderi, K. Karimizadeh and S. Khodamoradi, "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," International Journal of Astronomy and Astrophysics, Vol. 1 No. 4, 2011, pp. 232-236. doi: 10.4236/ijaa.2011.14028.

Conflicts of Interest

The authors declare no conflicts of interest.

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