碩士 / 國立交通大學 / 土木工程系所 / 92 / The paper develops an ANN alert model of ship escape from Hualien harbor during typhoon period. The conditions of official annual ship escape reports from 1996 to 2003 are classified into four grades and related to the corresponding typhoon position and scale. Typhoon’s path, scale, maximum wind speed and position are the dominant affecting factors to be the input parameters in the present ANN model. The present ANN model with 27 neurons in only one hidden layer and with hyperbolic tangent sigmoid transfer function is examined to provide the fittest and most precise alert system for ship escape from Hualien harbor during typhoon period. The construction of the present ANN model can be extended to the other harbor if the ship escape report is detailed and long enough.
Identifer | oai:union.ndltd.org:TW/092NCTU5015023 |
Date | January 2004 |
Creators | 黃臻瑜 |
Contributors | 張憲國 |
Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
Language | zh-TW |
Detected Language | English |
Type | 學位論文 ; thesis |
Format | 75 |
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