PREDICTION OF PARAMETERS OF WIND-INDUCED WAVES IN THE CASPIAN SEA USING REGRESSION TREES AND ARTIFICIAL NEURAL NETWORKS

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MAHJOUBI J.; ARDALAN SOMGHI H.

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Journal: JOURNAL OF MARINE ENGINEERING Year:2009 | Volume:5 | Issue:9 Page(s): 65-71

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Information Journal Paper

Title

PREDICTION OF PARAMETERS OF WIND-INDUCED WAVES IN THE CASPIAN SEA USING REGRESSION TREES AND ARTIFICIAL NEURAL NETWORKS

Author(s)

MAHJOUBI J. | ARDALAN SOMGHI H. | Issue Writer Certificate

Keywords

PREDICTIONQ2

WAVEQ2

REGRESSION TREESQ3

ARTIFICIAL NEURAL NETWORKSQ3

AMIR-ABADQ3

NEKAQ3

Abstract

PREDICTION of WAVE parameters is necessary for many applications in coastal and offshore engineering. In the literature, several approaches have been proposed to WAVE PREDICTIONs classified as empirical based, soft-computing based and numerical based approaches. Recently, soft computing techniques such as ARTIFICIAL NEURAL NETWORKS (ANNs) have been used to develop WAVE PREDICTION models. In this work, the performance of REGRESSION TREES for PREDICTION of WAVE parameters was investigated. The data set used in this study comprises of wind and WAVE data gathered in Caspian Sea. Results of REGRESSION TREES were compared with those of ARTIFICIAL NEURAL NETWORKS. Results indicate that error statistics of REGRESSION TREES and ARTIFICIAL NEURAL NETWORKS were nearly similar. In addition, REGRESSION TREES need lower run-time.

Cites

TECHNICAL NOTE: ONLINE SIGNIFICANT WAVE HEIGHT PREDICTION IN PERSIAN GULF USING ARTIFICIAL NEURAL NETWORKS AND REGRESSION TREES

References

COMPARISON OF EMPIRICAL AND NUMERICAL METHODS IN THE PREDICTION OF WAVE CHARACTERISTICS IN AMIR ABAD AND BUSHEHR PORTS

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APA: Copy

MAHJOUBI, J., & ARDALAN SOMGHI, H.. (2009). PREDICTION OF PARAMETERS OF WIND-INDUCED WAVES IN THE CASPIAN SEA USING REGRESSION TREES AND ARTIFICIAL NEURAL NETWORKS. JOURNAL OF MARINE ENGINEERING, 5(9), 65-71. SID. https://sid.ir/paper/60897/en

Vancouver: Copy

MAHJOUBI J., ARDALAN SOMGHI H.. PREDICTION OF PARAMETERS OF WIND-INDUCED WAVES IN THE CASPIAN SEA USING REGRESSION TREES AND ARTIFICIAL NEURAL NETWORKS. JOURNAL OF MARINE ENGINEERING[Internet]. 2009;5(9):65-71. Available from: https://sid.ir/paper/60897/en

IEEE: Copy

J. MAHJOUBI, and H. ARDALAN SOMGHI, “PREDICTION OF PARAMETERS OF WIND-INDUCED WAVES IN THE CASPIAN SEA USING REGRESSION TREES AND ARTIFICIAL NEURAL NETWORKS,” JOURNAL OF MARINE ENGINEERING, vol. 5, no. 9, pp. 65–71, 2009, [Online]. Available: https://sid.ir/paper/60897/en

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