ANALYSIS OF KEY PARAMETERS IN NEAR SHORE CURRENT USING ARTIFICIAL NEURAL NETWORKS

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Yeganeh Bakhtiary Abbass; Zeinali Majid; Valipour Reza; Yamashita Takao

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON COASTS, PORTS AND MARINE STRUCTURES (ICOPMAS) PORTS & MARITIME ORGANIZATION
Year:2006 | Issue:7

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Title

ANALYSIS OF KEY PARAMETERS IN NEAR SHORE CURRENT USING ARTIFICIAL NEURAL NETWORKS

Author(s)

Yeganeh Bakhtiary Abbass | Zeinali Majid | Valipour Reza | Yamashita Takao

Keywords

ARTIFICIAL NEURAL NETWORK (ANN)

FEED FORWARD (FF)

ROOT MEAN SQUARE (RMS)

Abstract

DESIGN OF PORT AND HARBOR FACILITIES HIGHLY DEPENDS ON THE NEAR SHORE HYDRODYNAMICS. USUALLY, THE SIGNIFICANT WAVE CHARACTERISTICS ALONG WITH THE MOST SEVERE CONDITION OF THE NEAR SHORE CURRENTS BASED ON THE FIELD MEASUREMENTS IS CONSIDERED FOR THE DESIGN PURPOSE. ON THE OTHER HAND, OPTIMAL MEASUREMENT COST AND ACCURATE NUMERICAL ESTIMATION DEPENDS ON SOME KEY PARAMETERS OF CURRENT VELOCITY. THE MAIN OBJECTIVE OF PRESENT PAPER IS TO DESCRIBE AN APPROACH TO MORE ACCURATE AND EFFECTIVE PREDICTION OF CURRENT VELOCITY THROUGH KEY PARAMETERIZATION OF OBSERVED DATA BASED ON ROOT MEAN SQUARE (RMS). THE PROCEDURE HAS SIGNIFICANTLY IMPROVED BY USING ARTIFICIAL NEURAL NETWORKS DUE TO ANN'S CAPABILITY IN HIGH FUNCTIONING WITH RAPID COMPUTATION TO SOLVE THE HIGH NONLINEARITY AND MULTI-VARIABLES SYSTEMS.

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APA: Copy

Yeganeh Bakhtiary, Abbass, Zeinali, Majid, Valipour, Reza, & Yamashita, Takao. (2006). ANALYSIS OF KEY PARAMETERS IN NEAR SHORE CURRENT USING ARTIFICIAL NEURAL NETWORKS. INTERNATIONAL CONFERENCE ON COASTS, PORTS AND MARINE STRUCTURES (ICOPMAS). SID. https://sid.ir/paper/907026/en

Vancouver: Copy

Yeganeh Bakhtiary Abbass, Zeinali Majid, Valipour Reza, Yamashita Takao. ANALYSIS OF KEY PARAMETERS IN NEAR SHORE CURRENT USING ARTIFICIAL NEURAL NETWORKS. 2006. Available from: https://sid.ir/paper/907026/en

IEEE: Copy

Abbass Yeganeh Bakhtiary, Majid Zeinali, Reza Valipour, and Takao Yamashita, “ANALYSIS OF KEY PARAMETERS IN NEAR SHORE CURRENT USING ARTIFICIAL NEURAL NETWORKS,” presented at the INTERNATIONAL CONFERENCE ON COASTS, PORTS AND MARINE STRUCTURES (ICOPMAS). 2006, [Online]. Available: https://sid.ir/paper/907026/en

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