May 8, 2024, 4:45 a.m. | Isidro G\'omez-Vargas, Joshua Briones Andrade, J. Alberto V\'azquez

stat.ML updates on

arXiv:2209.02685v2 Announce Type: cross
Abstract: The applications of artificial neural networks in the cosmological field have shone successfully during the past decade, this is due to their great ability of modeling large amounts of datasets and complex nonlinear functions. However, in some cases, their use still remains controversial because their ease of producing inaccurate results when the hyperparameters are not carefully selected. In this paper, to find the optimal combination of hyperparameters to artificial neural networks, we propose to take …

abstract algorithms applications artificial artificial neural networks arxiv cases cosmology datasets functions however modeling networks neural networks type

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