Hybrid systems for river flood forecasting using MLP, SOM and fuzzy systems

Abstract

This article presents an approach of data partitioning using specialist knowledge incorporated to intelligent solutions for river flow prediction. The main idea is to train the processes through a hybrid systems, neural networks and fuzzy, characterizing its physical process. As a case study, the results obtained with this models from three basins, Três Marias, Tucuruí and Foz do Areia, all situated in Brazil, are investigated. © 2009 Springer Berlin Heidelberg.