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INITIAL SHIP DESIGN USING A PEARSON CORRELATION COEFFICIENT AND ARTIFICIAL INTELLIGENCE TECHNIQUES

BYUNG YOUNG MOON

Research Institute of Mechanical Technology, Pusan National Uni., Busan 609-735, Korea

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SOO YOUNG KIM

Dept. of Naval Architecture & Ocean Engineering, Pusan National Unversity, Busan 609-735, Korea

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GYUNG JU KANG

School of Mechanical Engineering, Pusan National University, Busan 609-735, Korea

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https://doi.org/10.1142/S0217979208047444Cited by:8 (Source: Crossref)

Abstract

In this paper we analyzed correlation between geometrical character and resistance, and effective horse power by using Pearson correlation coefficient which is one of the data mining methods. Also we made input data to ship's geometrical character which has strong correlation with output data. We calculated effective horse power and resistance by using Neuro-Fuzzy system. To verify the calculation, 9 of 11 container ships' data were improved as data of Neuro-Fuzzy system and the others were improved as verification data. After analyzing rate of error between existing data and calculation data, we concluded that calculation data have sound agreement with existing data.

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