Adaptive hyperparameter optimization in artificial neural networks using the bobcat optimization algorithm (BOA)
Hyperparameter selection plays a critical role in the convergence speed and performance of artificial neural networks (ANNs), yet conventional tuning methods such as grid search, random search, and Bayesian optimization often suffer from high computational cost and limited adaptability. To address t...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
PeerJ Inc.
2026-07-01
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| Serie: | PeerJ Computer Science |
| Soggetti: | |
| Accesso online: | https://peerj.com/articles/cs-3932.pdf |
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