Neural Computing and Applications

, Volume 23, Issue 7–8, pp 2465–2469

Soft computing for prediction of river pipeline scour depth

  • Hazi Mohammad Azamathulla
  • Mohd. Azlan Mohd. Yusoff
Original Article

DOI: 10.1007/s00521-012-1205-x

Cite this article as:
Azamathulla, H.M. & Mohd. Yusoff, M.A. Neural Comput & Applic (2013) 23: 2465. doi:10.1007/s00521-012-1205-x

Abstract

This study presents gene-expression programming (GEP) as an alternative soft computing tool for the prediction of scour below underwater pipeline across river. Actual laboratory measurements were used for the model development. The scour depth was formulated in terms of several influencing parameters. The results indicate that GEP is a very promising approach to predict the river pipeline scour depth.

Keywords

Local scour Soft computing Gene-expression programming Pipelines 

Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  • Hazi Mohammad Azamathulla
    • 1
  • Mohd. Azlan Mohd. Yusoff
    • 1
  1. 1.REDACUniversiti Sains MalaysiaNibong TebalMalaysia

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