Application of a probabilistic neural network in analysis of the radial velocity curve of spectroscopic binary stars
Application of a probabilistic neural network in analysis of the radial velocity curve of spectroscopic binary stars作者机构:Department of Science and EngineeringIslamic Azad UniversityMarivan BranchMarivan Iran Department of PhysicsUniversity of KurdistanPasdaran St.SanandajIran Department of Mathematics and Computer ScienceFaculty of Mathematics and Computer ScienceShahed UniversityTehranIran
出 版 物:《Research in Astronomy and Astrophysics》 (天文和天体物理学研究(英文版))
年 卷 期:2012年第12卷第12期
页 面:1666-1672页
核心收录:
学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学]
基 金:国家自然科学基金 the Knowledge Innovation Key Program of the Chinese Academy of Sciences 云南省自然科学基金
主 题:stars:binaries:eclipsing-binaries:spectroscopic(HD 89959 HD 143705 HD 146361 HD 165052 and HD 152248)
摘 要:Using measured radial velocity data of five double-lined spectroscopic binary systems,HD 89959,HD 143705,HD 146361,HD 165052 and HD 152248, we find corresponding orbital and spectroscopic elements via a Probabilistic Neural *** numerical results are in good agreement with those obtained by others using more traditional methods.