Advanced search
Publication Cover
Coastal Engineering Journal Volume 57, 2015 - Issue 4
Submit an article Journal homepage
59
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Prediction of Incipient Breaking Wave-Heights Using Artificial Neural Networks and Empirical Relationships

Bryson RobertsonMechanical Engineering, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC, V8W 3P6, CanadaCorrespondence[email protected]
,
Bahram GharabaghiWater Resources Engineering, University of Guelph, 50 Stone Rd East, Guelph, ON, NIG 2W1, CanadaCorrespondence[email protected]
&
Kevin HallOffice of Research and Innovation, University of Newcastle, University Drive, Callaghan, NSW 2308, AustraliaCorrespondence[email protected]
Pages 1550018-1-1550018-27 | Received 17 Dec 2014, Accepted 31 Aug 2015, Published online: 10 Jan 2018

Citations (19)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Tayeb Sadeghifar, Maryam Nouri Motlagh, Massoud Torabi Azad & Mahdi Mohammad Mahdizadeh. (2017) Coastal Wave Height Prediction using Recurrent Neural Networks (RNNs) in the South Caspian Sea. Marine Geodesy 40:6, pages 454-465.
Read now

Articles from other publishers (18)

Khiem Quang Tran, Nga Thanh Duong, Loc Xuan Luu, Linh Hoang Tran & Winyu Rattanapitikon. (2023) Development of novel parametric wave model for irregular wave height transformation. Ocean Engineering 278, pages 114493.
Crossref
Nga Thanh Duong, Khiem Quang Tran, Loc Xuan Luu & Linh Hoang Tran. (2023) Prediction of breaking wave height by using artificial neural network-based approach. Ocean Modelling 182, pages 102177.
Crossref
Nga Thanh Duong & Khiem Quang Tran. (2022) Estimation of seepage velocity and piping resistance of fiber-reinforced soil by using artificial neural network-based approach. Neural Computing and Applications 35:3, pages 2443-2455.
Crossref
Yichen Yang, Hangkai Pan, Dekang Zheng, Hongkai Zhao, Yudi Zhou & Dong Liu. (2022) Characteristics and Formation Conditions of Thin Phytoplankton Layers in the Northern Gulf of Mexico Revealed by Airborne Lidar. Remote Sensing 14:17, pages 4179.
Crossref
Miyoung Yun, Jinah Kim & Kideok Do. (2022) Estimation of Wave-Breaking Index by Learning Nonlinear Relation Using Multilayer Neural Network. Journal of Marine Science and Engineering 10:1, pages 50.
Crossref
Chi Zhang, Yuan Li, Yu Cai, Jian Shi, Jinhai Zheng, Feng Cai & Hongshuai Qi. (2021) Parameterization of nearshore wave breaker index. Coastal Engineering 168, pages 103914.
Crossref
Behrooz Tadayon, Hamid Dehghani & Cyrus Ershadi. (2021) Proposing new breaking wave height prediction formulae using gene expression programming. Ocean Engineering 228, pages 108952.
Crossref
Saeed Shaeri, Amir Etemad-ShahidiRodger Tomlinson. (2020) Revisiting Longshore Sediment Transport Formulas. Journal of Waterway, Port, Coastal, and Ocean Engineering 146:4.
Crossref
Umberto Andriolo, Diogo Mendes & Rui Taborda. (2020) Breaking Wave Height Estimation from Timex Images: Two Methods for Coastal Video Monitoring Systems. Remote Sensing 12:2, pages 204.
Crossref
Umberto Andriolo, Elena Sánchez-García & Rui Taborda. (2019) Operational Use of Surfcam Online Streaming Images for Coastal Morphodynamic Studies. Remote Sensing 11:1, pages 78.
Crossref
Tunde Aderinto & Hua Li. (2018) Ocean Wave Energy Converters: Status and Challenges. Energies 11:5, pages 1250.
Crossref
Isa Ebtehaj, Hossein Bonakdari, Fatemeh Moradi, Bahram Gharabaghi & Zohreh Sheikh Khozani. (2018) An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition. Coastal Engineering 135, pages 1-15.
Crossref
Andrew KozynKathleen SonginBahram GharabaghiWilliam David Lubitz. (2018) Predicting Archimedes Screw Generator Power Output Using Artificial Neural Networks. Journal of Hydraulic Engineering 144:3.
Crossref
L. Cornejo-Bueno, E.C. Garrido-Merchán, D. Hernández-Lobato & S. Salcedo-Sanz. (2018) Bayesian optimization of a hybrid system for robust ocean wave features prediction. Neurocomputing 275, pages 818-828.
Crossref
A.M.A. Sattar, B. Gharabaghi, F. Sabouri & A.M. Thompson. (2017) Urban stormwater thermal gene expression models for protection of sensitive receiving streams. Hydrological Processes 31:13, pages 2330-2348.
Crossref
Harsh Vardhan SinghAnita M. ThompsonBahram Gharabaghi. (2017) Event Runoff and Sediment-Yield Neural Network Models for Assessment and Design of Management Practices for Small Agricultural Watersheds. Journal of Hydrologic Engineering 22:2.
Crossref
F. Sabouri, B. Gharabaghi, A.M.A. Sattar & A.M. Thompson. (2016) Event-based stormwater management pond runoff temperature model. Journal of Hydrology 540, pages 306-316.
Crossref
Ed Gazendam, Bahram Gharabaghi, Josef D. Ackerman & Hugh Whiteley. (2016) Integrative neural networks models for stream assessment in restoration projects. Journal of Hydrology 536, pages 339-350.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.