Estudios de inteligencia artificial para mejorar el desempeño de modelos estadísticos en codigestión anaerobia
Year: 2024
Type: article
Abstract: This paper seeks to apply artificial intelligence to improve the results by modelsbased on statistical systems such as response surface methodology (RMS) inliterature, using AI -based computational techniques, which have proven to bevaluable for the design and prediction of the behavior of anaerobic digestionsystems, a matrix of 3 by 3 was used to find the best architecture for the neuronalnetwork, improving the performance of the model proposed in the literature thatachieves R² of 0.90 and with this methodology used in this research an R²adjustment of 0.99 is achieved .
Source: e-CUCBA
Authors: Universidad de Guadalajara. Centro Universitariode Tonalá. División de Ingenierías e InnovaciónTecnológica. Tonalá, Jalisco, México., Juan Pablo Morales Rivera, Jean Michelle Flores Gómez, Francisco González Torres
Institution: Universidad de Guadalajara
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402185469