| Summary: | The use of artificial neural networks (ANNs) in physical sciences has increased recently. Determining the orbital
elements of binary systems helps us to obtain fundamental information. In this paper, ANNs were used to find the corresponding
orbital and spectroscopic elements of four double-lined spectroscopic binary stars: Schulte 3, EY Cep, HD 101131, and Haro 1-
14c. The orbital parameters of the radial velocity curve obtained from ANNs were compared with other traditional methods and
we show that the proposed method is of high accuracy. Our numerical results are in good agreement with those obtained by
others using nonlinear regression methods. We show the validity of our new method in a wide range of different types of binary.
In this method, the time consumed is considerably less than in the other traditional methods. The present method is applicable to
orbits of all eccentricities and inclination angles and enables one to vary all of the unknown parameters simultaneously.
|
|---|