Soft computing for prediction of river pipeline scour depth

被引：29

作者：

Azamathulla, Hazi Mohammad ^{[1
]}

Yusoff, Mohd Azlan Mohd ^{[1
]}

机构：

[1] Univ Sains Malaysia, REDAC, Nibong Tebal 14300, Penang, Malaysia

来源：

NEURAL COMPUTING & APPLICATIONS | 2013年 / 23卷 / 7-8期

关键词：

Local scour; Soft computing; Gene-expression programming; Pipelines; NEURAL-NETWORKS; LOCAL SCOUR;

D O I：

10.1007/s00521-012-1205-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：2465 / 2469

页数：5

共 27 条

[1] Energy-based numerical models for assessment of soil liquefaction [J].

Alavi, Amir Hossein ;

Gandomi, Amir Hossein .

GEOSCIENCE FRONTIERS, 2012, 3 (04) :541-555

[2] Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing [J].

Alavi, Amir Hossein ;

Gandomi, Amir Hossein .

COMPUTERS & STRUCTURES, 2011, 89 (23-24) :2176-2194

[3] A robust data mining approach for formulation of geotechnical engineering systems [J].

Alavi, Amir Hossein ;

Gandomi, Arnir Hossein .

ENGINEERING COMPUTATIONS, 2011, 28 (3-4) :242-274

[4]

[Anonymous], 2003, Genetic programming IV: routine human-competitive machine intelligence

[5] Alternative neural networks to estimate the scour below spillways [J].

Azamathulla, H. Md. ;

Deo, M. C. ;

Deolalikar, P. B. .

ADVANCES IN ENGINEERING SOFTWARE, 2008, 39 (08) :689-698

[6] Genetic Programming to Predict River Pipeline Scour [J].

Azamathulla, H. Md. ;

Ab Ghani, Aminuddin .

JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2010, 1 (03) :127-132

[7] Linear genetic programming to scour below submerged pipeline [J].

Azamathulla, H. Md. ;

Guven, Aytac ;

Demir, Yusuf Kagan .

OCEAN ENGINEERING, 2011, 38 (8-9) :995-1000

[8] Prediction of scour below submerged pipeline crossing a river using ANN [J].

Azamathulla, H. Md. ;

Zakaria, Nor Azazi .

WATER SCIENCE AND TECHNOLOGY, 2011, 63 (10) :2225-2230

[9] Neural networks for estimation of scour downstream of a ski-jump bucket [J].

Azmathullah, HM ;

Deo, MC ;

Deolalikar, PB .

JOURNAL OF HYDRAULIC ENGINEERING, 2005, 131 (10) :898-908

[10]

Bijker E W., 1984, Seabed Mechanics, P235

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