Este artículo se enfoca en la revisión de las principales técnicas que aborda la Inteligencia
Artificial, con sus diferentes paradigmas, y son relevantes los sistemas expertos, las redes …

Determining the modulus of elasticity of wood by applying an artificial neural network using
the physical properties and non-destructive testing can be a useful method in assessments …

We compare the performance of various advanced forecasting techniques, namely artificial
neural networks, k-nearest neighbors, logistic regression, Naïve Bayes, random forest …

A fuel cell is a complex system, which produces electricity through an electrochemical
reaction. For the formal application of control strategies on a fuel cell, it is very important to …

This research work presents an artificial intelligence approach to predicting the hydrogen
concentration in the producer gas from biomass gasification. An experimental gasification …

Desde los inicios, hasta la actualidad, el hombre se ha caracterizado por poseer gran
curiosidad en querer conocer el porqué de las cosas, de los animales, de las plantas, de …

In this study, a hybrid model based on intelligent techniques is developed to predict the
active power generated in a bioclimatic house by a low power wind turbine. Contrary to …

The objective of this study is to investigate whether presence/absence models can be used
as surrogates of arthropod abundance, and eventually under which circumstances such …

Owing to their ease of implementation, proportional-integral-derivative (PID) control systems
are widely used to control physical systems. However, when environmental disturbances or …

Using a probabilistic neural network and a set of financial and nonfinancial variables, this
study seeks to improve the ability of the existing bankruptcy prediction models in the hotel …