Case 1.

Case 1.

<p>Error-based performance metrics for each algorithm.</p>

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Bibliographic Details
Main Author:	Itzel Contreras Carmona (20427867) (author)
Other Authors:	Belem Saldivar (20390462) (author), Otniel Portillo-Rodríguez (11278666) (author), Víctor Manuel Ramírez Rivera (20427870) (author), Leopoldo Gil Antonio (20427873) (author), Juan Manuel Jacinto-Villegas (20427876) (author)
Published:	2024
Subjects:	Microbiology Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified numerical simulations confirm multiple regression models artificial neural networks applies bayesian regularization linear regression constitutes classical methods perturbation simplest linear based methods xlink "> voltage references underlying idea two approaches system response solar irradiance significant differences reference path reference generated proposed algorithm power efficiency paper proposes one uses novel strategy method proposed marquardt algorithm incremental conductance generate current derivative controller complexity solution
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Summary:	<p>Error-based performance metrics for each algorithm.</p>

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