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Author Eskander, George S. ♦ Atiya, Amir F.
Source arXiv.org
Content type Text
File Format PDF
Date of Submission 2008-08-09
Language English
Subject Domain (in DDC) Computer science, information & general works
Subject Keyword Computer Science - Neural and Evolutionary Computing ♦ Computer Science - Symbolic Computation ♦ cs
Abstract 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.
Educational Use Research
Learning Resource Type Article


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