Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems

Authors:
Ivna Valença;Teresa Ludermir
Affiliations:
Federal University of Pernambuco, Recife, Brazil 50.732-970;Federal University of Pernambuco, Recife, Brazil 50.732-970
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Year:
2009

Citing 4
Cited 0

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2007 Special Issue: Knowledge-based modularization and global optimization of artificial neural network models in hydrological forecasting

Neural Networks

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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.