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《Journal of University of Science and Technology Liaoning》 2009-01
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Automatic prediction of stellar atmospheric parameters with neural network

PAN Ya-chun1,TU Liang-ping2(1.School of Materials Science and Engineering,University of Science and Technology Liaoning,Anshan 114051,China;2.School of Science,University of Science and Technology Liaoning,Anshan 114051,China)  
An automatic method to predict stellar atmospheric parameters using artificial neural network(ANN) was presented,which can achieve the prediction of stellar effective temperature Teff,surface gravity log g and metallic abundance.The method is composed of three functional units,namely stellar spectra preprocessing(include stellar spectra denoise and wavelength normalization),data reduction(using principal components analysis) and parameters estimation using BP network.The experimental results show that the method is better than other methods such as non-parameter estimation,SVM regression and PLS regression.
【Key Words】: stellar atmospheric parameters artificial neural network data dimension reduction
【CateGory Index】: TP391.41
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Bian Weihao 1) Zhang Hongying 2) ( 1)Department of Physics, Nanjing Normal University, 210097, Nanjing, China; 2)College of Teachers,Southern Yangtze University, 214063, Wuxi, Jiangsu, China);THE TEACHING OF “AN INTRODUCTION TO ASTROPHYSICS” IN PHYSICS DEPARTMENT IN UNIVERSITIES[J];Journal of Beijing Normal University(Natural Science);2005-03
2 Sun Yanchun (Department of Astronomy, Beijing Normal University,100875,Beijing, China);THE TEACHING INNOVATION OF PROFESSIONALLY BASAL COURSE AND THE DESIGNS OF PUBLIC COURSE OF ASTRONOMY[J];Journal of Beijing Normal University(Natural Science);2005-03
3 Wang Zhigang Wang Qinglu (Department of Physics, Tangshan Teachers College, 063000, Tangshan, Hebei, China);HOW TO STRENGTHEN THE INSTRUCTION OF ASTRONOMY IN THEORETICAL MECHANICS CLASS[J];Journal of Beijing Normal University(Natural Science);2005-03
4 XIAO Li\|ye (Applied Superconductivity Lab., Institute of Electrical Engineering, Academia Sinica, Beijing 100080, China);Investigation on the origin of the magnetic field of the celestial bodies and galaxies[J];Advanced Technology of Electrical Engineering and Energy;2003-04
5 YAN Kun (Xi'an Modern Nonlinear Science Applying Institute, Xi'an 710061, China);The general expression of Binet equation about celestial bodies motion orbits[J];Progress In Geophysics;2005-02
6 LIU Faxing1,LIU Songhao2(1.Panyu College,Guangdong University of Technology,Guangzhou 510090,China;2.Institute of Quantum and Electronics,SCNU,Guangzhou 510631,China);Quark Degeneracy Pressure Can Prevent Light Quality Black Hole from Indefinite Collapse[J];Journal of Guangdong University of Technology;2003-01
7 ZHANG De-rong(Shenyang Institute of Aeronautical Engineering,Liaoning Shenyang 110034);An estimation of metagalaxy magnetic-field intensity[J];Journal of Shenyang Institute of Aeronautical Engineering;2006-03
8 WANG Xue-ren (Applied Science College, Harbin Univ. Sci. Tech., Harbin 150080, China);On the Problems of Olbers Paradox[J];Journal of Harbin University of Science and Technology;2001-06
9 WANG Xue-ren (Applied Science College, Harbin Univ. Sd. Tech., Harbin 150080, China);Mass, Density and Lifetime of Black Holes[J];Journal of Harbin University of Science and Technology;2002-01
10 PENG Tao (College of Information, Beijing Union University, Beijing, 100101, China);Research on self - organization of complex system on element periodic table[J];Computers and Applied Chemistry;2005-05
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