Neural Computing and Applications

, Volume 23, Issue 5, pp 1421–1426

Gene-expression programming to predict friction factor for Southern Italian rivers

Original Article

DOI: 10.1007/s00521-012-1091-2

Cite this article as:
Md. Azamathulla, H. Neural Comput & Applic (2013) 23: 1421. doi:10.1007/s00521-012-1091-2

Abstract

This briefing article presents gene-expression programming (GEP), which is an extension to genetic programming, as an alternative approach to predict friction factor for Southern Italian rivers. Published data were compiled for the friction for 43 gravel-bed rivers of Calabria. The proposed GEP approach produces satisfactory results (R2 = 0.958 and RMSE = 0.079) compared with existing predictors.

Keywords

Rivers Friction factor GEP Streams Gravel-bed 

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.River Engineering and Urban Drainage Research Centre (REDAC)Universiti Sains MalaysiaNibong TebalMalaysia

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