Resumen

GOMEZ VARGAS, Ernesto; OBREGON NEIRA, Nelson  y  SOCARRAS QUINTERO, Virgilio. Application of neuro-fuzzy ANFIS model vs neural network, to the predictive monthly mean flow problem in the Bogotá river in Villapinzón. Tecnura [online]. 2010, vol.14, n.27, pp.18-29. ISSN 0123-921X.

This paper shows the results in the exploration of the benefits of the implementation of neuro-fuzzy AN-FIS model and neural networks for the prediction of monthly mean flows in the basin of Bogota River in Villapinzón. The ANFIS model is developed, implemented and the performance of six models is evaluated bychanging entries number, number and type of fuzzy sets (membership functions), which are the basic parameters of the ANFIS model. The results are compared with those obtained with multilayer perceptron neural networks.

Palabras clave : ANFIS; Artificial intelligence; Neural networks.

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