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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.
【CateGory Index】: TP391.41
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