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

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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.
Published in ICENCO2007, Cairo, December 2007

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Neural and Evolutionary Computing, Symbolic Computation

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http://salesiana.dossiersoluciones.com/handle/123456789/166792

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0808.1378
 http://arxiv.org/abs/0808.1378

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arXiv