A Novel Symbolic Type Neural Network Model- Application to River Flow Forecasting

Computer Science – Neural and Evolutionary Computing

Scientific paper

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Published in ICENCO2007, Cairo, December 2007

Scientific paper

In this paper we introduce a new symbolic type neural tree network called symbolic function network (SFN) that is based on using elementary functions to model systems in a symbolic form. The proposed formulation permits feature selection, functional selection, and flexible structure. We applied this model on the River Flow forecasting problem. The results found to be superior in both fitness and sparsity.

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