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Machine learning could solve riddles of galaxy formation
Machine learning galaxy formation
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2015/12/7
A new machine-learning simulation system developed at the University of Illinois promises cosmologists an expanded suite of galaxy models – a necessary first step to developing more accurate and relev...
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning
stellar atmospheric parameters spectra spectral lines
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2009/6/8
Prediction of stellar atmospheric parameters from spectra, spectral indices and spectral lines using machine learning。