Prediction of Water Wave Breaking Height and Depth Using ANFIS
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Wave height as well as water depth at the breaking point are two basic parameters which are necessary for studying coastal processes. In this paper, the application of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) and semi-empirical models are investigated. The data sets used in this study are published laboratory data obtained from regular wave breaking on plane, impermeable slopes collected from 22 sources. Results indicate that the developed ANFIS model provides more accurate and reliable estimation of breaking wave height, compared to semi-empirical equations. However, some of semi-empirical equations provide better predictions of water depth at the breaking point compared to the ANFIS model.
2012 ◽
Vol 482-484
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pp. 2192-2196
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2018 ◽
Vol 2018
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pp. 1-8
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2013 ◽
Vol 385-386
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pp. 1411-1414
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2013 ◽
Vol 284-287
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pp. 25-30
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2013 ◽
Vol 68
(1-4)
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pp. 339-347
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