Neural Computing and Applications

, Volume 24, Issue 2, pp 271–276

Development of GEP-based functional relationship for sediment transport in tropical rivers

Original Article

DOI: 10.1007/s00521-012-1222-9

Cite this article as:
Ab. Ghani, A. & Azamathulla, H.M. Neural Comput & Applic (2014) 24: 271. doi:10.1007/s00521-012-1222-9

Abstract

This study presents gene expression programming (GEP), which is an extension to genetic programming (GP), as an alternative approach to modeling the functional relationships for the River Kurau, River Langat, and River Muda of the Malaysia. A functional relation has been developed using GEP with non-dimensional variables. The development of a GEP non-dimensional model is described. This paper compares current prediction equation with the existing GEP model for the same rivers (Zakaria et al. in Sci Total Environ 408:5078–5085, (2010). The presented model in this study is a less input GEP model and that predicts good performance. The proposed GEP approach gives satisfactory results compared to existing predictors.

Keywords

Malaysian Rivers Gene expression programming Sediment transport Regression analysis 

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

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

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