Analysis of nonlinear dependences using artificial neural networks

In this paper, we develop a new technique for detecting nonlinear dependences in time series, based on the use of an autoregressive neural network and the concept of coefficient of correlation. Taking into account that the employed neural network model is able to approximate any function in a compa...

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Bibliographic Details
Main Authors: Carlos A. Martínez, Juan D. Velásquez
Format: Article
Language:English
Published: Universidad de Antioquia 2012-11-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/13672