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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| Format: | Thesis |
| Language: | English |
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2024
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| Online Access: | http://eprints.usm.my/63701/ |
| Abstract | Abstract here |