A Review on Application of Soft Computing Methods in Water Resources Engineering
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- @InCollection{Azamathulla:2013:MWGTE,
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author = "H. Md Azamathulla",
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title = "A Review on Application of Soft Computing Methods in
Water Resources Engineering",
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editor = "Xin-She Yang and Amir Hossein Gandomi and
Amir Hossein Alavi",
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booktitle = "Metaheuristics in Water, Geotechnical and Transport
Engineering",
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publisher = "Elsevier",
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address = "Oxford",
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year = "2013",
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chapter = "2",
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pages = "27--41",
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keywords = "genetic algorithms, genetic programming, gene
expression programming, Water resources engineering,
applied soft computing, artificial neural network,
adaptive neuro-fuzzy inference system, scour, river
stage",
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isbn13 = "978-0-12-398296-4",
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DOI = "doi:10.1016/B978-0-12-398296-4.00002-7",
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URL = "http://www.sciencedirect.com/science/article/pii/B9780123982964000027",
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abstract = "This chapter reviews the application of soft computing
techniques, namely radial basis function (RBF),
adaptive neuro-fuzzy inference system (ANFIS),
gene-expression programming (GEP), and linear genetic
programming (LGP) in water resources engineering. The
capabilities of these techniques have been illustated
by applying them to the prediction of scour downstream
of flip spillway/bridge pier and abutment
scour/pipeline scour/culvert scour/sediment load in
hydraulics, and the river stage-discharge curve in
hydrology. The accuracy of the results obtained by the
soft computing techniques supports their further use
for the prediction of hydraulic and hydrologic
variables. Availability of free and easy-to-apply
software for a specified method can invite a huge
number of its applications by enthusiastic
investigators.",
- }
Genetic Programming entries for
Hazi Mohammad Azamathulla
Citations