Can Self-Organizing Maps Accurately Predict Photometric Redshifts?
暂无分享,去创建一个
[1] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .
[2] Bazarghan Mahdi. Application of Self-Organizing Map to Stellar Spectral Classifications , 2011 .
[3] James E. Geach,et al. Unsupervised self-organized mapping: a versatile empirical tool for object selection, classification and redshift estimation in large surveys , 2011, 1110.0005.
[4] Eduardo Serrano,et al. LSST: From Science Drivers to Reference Design and Anticipated Data Products , 2008, The Astrophysical Journal.
[5] M. Sawicki,et al. How Future Space-Based Weak-Lensing Surveys Might Obtain Photometric Redshifts Independently , 2011, 1101.4635.
[6] Nick Kaiser,et al. Pan-STARRS: a wide-field optical survey telescope array , 2004, SPIE Astronomical Telescopes + Instrumentation.