Current approaches of artificial intelligence in breakwaters - A review

dc.contributor.authorKundapura, S.
dc.contributor.authorHegde, A.V.
dc.date.accessioned2026-02-05T13:17:38Z
dc.date.issued2017
dc.description.abstractA breakwater has always been an ideal option to prevent shoreline erosion due to wave action as well as to maintain the tranquility in the lagoon area. The effects of the impinging wave on the structure could be analyzed and evaluated by several physical and numerical methods. An alternate approach to the numerical methods in the prediction of performance of a breakwater is Artificial Intelligence (AI) tools. In the recent decade many researchers have implemented several Artificial Intelligence (AI) tools in the prediction of performance, stability number and scour of breakwaters. This paper is a comprehensive review which serves as a guide to the current state of the art knowledge in application of soft computing techniques in breakwaters. This study aims to provide a detailed review of different soft computing techniques used in the prediction of performance of different breakwaters considering various combinations of input and response variables. © 2017 Techno-Press, Ltd.
dc.identifier.citationOcean Systems Engineering, 2017, Vol.7, 2, p. 75-87
dc.identifier.issn20936702
dc.identifier.urihttps://doi.org/10.12989/ose.2017.7.2.075
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/28454
dc.publisherTechno Press technop2@chollian.net
dc.subjectAnfis
dc.subjectArtificial neural networks
dc.subjectBreakwaters
dc.subjectGenetic algorithm
dc.subjectParticle swarm optimization
dc.subjectSupport vector machines
dc.titleCurrent approaches of artificial intelligence in breakwaters - A review

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