A comparative artificial neural networks for Schwarzschild black hole (SBH) radius
It is consensus among researchers that the data for the black holes is complicated and extremely non-linear in nature. Therefore, it remains a challenging task for them to predict the key characteristics of concerned black holes accurately. The present work offers artificial neural networks assistan...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Physics Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666032625000377 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|