Genetic programming to predict river pipeline scour

Journal of Pipeline Systems Engineering and Practice

Volumn 1, Issue 3, 2010, Pages 127-132

  Azamathulla, H Md ^a   Ghani, Aminuddin Ab ^b  

^a RIVER ENGINEERING AND URBAN DRAINAGE RESEARCH CENTRE REDAC   (Malaysia)

^b SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Artificial neural networks; Genetic programming; Local scour; Pipelines.; Radial basis function

Indexed keywords

ACCURATE ESTIMATION; DATA SETS; EMPIRICAL MODEL; LABORATORY MEASUREMENTS; LOCAL SCOUR; RADIAL BASIS FUNCTION; REGRESSION EQUATION; SCOUR DEPTH; TECHNICAL NOTES;

BRIDGE PIERS; NEURAL NETWORKS; PIPE; PIPELINES; RADIAL BASIS FUNCTION NETWORKS; SCOUR;

GENETIC PROGRAMMING;

EID: 79957684229     PISSN: 19491190     EISSN: 19491204     Source Type: Journal    
DOI: 10.1061/(ASCE)PS.1949-1204.0000060     Document Type: Article

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