Advancing Cosmological Parameter Estimation and Hubble Parameter Reconstruction with Long Short-term Memory and Efficient Kolmogorov–Arnold Networks
In this work, we propose a novel approach for cosmological parameter estimation and Hubble parameter reconstruction using long short-term memory (LSTM) networks and efficient Kolmogorov–Arnold networks (Ef-KAN). LSTM networks are employed to extract features from observational data, enabling accurat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | The Astrophysical Journal Supplement Series |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-4365/adef3f |
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