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An ANFIS-based Approach for Predicting the Manning Roughness Coefficient in Alluvial Channels at the Bank-full Stage
2013
International Journal of Engineering
An intelligent method based on adaptive neuro-fuzzy inference system (ANFIS) for identifying Manning's roughness coefficient, n, in modeling of alluvial channels e.g. rivers is presented. The procedure for selecting values of the Manning n is subjective and requires engineering judgments and skills developed primarily through experience. During practical applications, researchers often find that a correct choice of the Manning n can be crucial to make a sound prediction of hydraulic problems.
doi:10.5829/idosi.ije.2013.26.02b.08
fatcat:z7yjcqriqjc67pdjh2xtehpxsm