Improving Photometric Redshifts By Varying Activation Functions In Artificial Neural Networks

In recent years, the astronomical community has faced a data deluge of up to exabytes due to the advancement of telescope technology. In fact, the application of machine learning techniques has simplified the task of analysing data for astronomers. Photometric redshift estimation or photo-z is on...

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Bibliographic Details
Main Author:	Pathi, Imdad Binti Mahmud
Format:	Thesis
Language:	English
Published:	2024
Subjects:	QC1 Physics (General)
Online Access:	http://eprints.usm.my/63701/
Abstract	Abstract here

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