A Review on Application of Soft Computing Methods in Water Resources Engineering

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@InCollection{Azamathulla:2013:MWGTE,

• author = "H. Md Azamathulla",
• title = "A Review on Application of Soft Computing Methods in Water Resources Engineering",
• editor = "Xin-She Yang and Amir Hossein Gandomi and Amir Hossein Alavi",
• booktitle = "Metaheuristics in Water, Geotechnical and Transport Engineering",
• publisher = "Elsevier",
• address = "Oxford",
• year = "2013",
• chapter = "2",
• pages = "27--41",
• 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",
• isbn13 = "978-0-12-398296-4",
• DOI = "doi:10.1016/B978-0-12-398296-4.00002-7",
• URL = "http://www.sciencedirect.com/science/article/pii/B9780123982964000027",
• 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

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