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The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation: A Neural Network Approach

✍ Scribed by J. Singal, M. Shmakova, B. Gerke, R. L. Griffith and J. Lotz


Book ID
123915134
Publisher
University of Chicago Press
Year
2011
Tongue
English
Weight
411 KB
Volume
123
Category
Article
ISSN
0004-6280

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The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines. The secon