Estudios de inteligencia artificial para mejorar el desempeño de modelos estadísticos en codigestión anaerobia

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 .