Application of adaptive network-based fuzzy inference system to monsoon-wave calculation in eastern waters, Taiwan

• Main Authors: Huo-Kuang Tsai, 蔡獲光
• Other Authors: Hsien-Kuo Chang
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/61394863207531717835

碩士 === 國立交通大學 === 土木工程系所 === 94 === Both computed monsoon data and corresponding measured waves data during 2002-2003 at three positions, Long-Dong, Su-Ao and Hua-Lien harbor in the eastern waters of Taiwan, are collected. The paper applies an adaptive network-based fuzzy inference system (ANFIS) to set up a monsoon wave model. The proposed wave model adopting wind velocity calculated by European Centre for Medium Range Weather Forecasts as input parameters can provide good simulating wave heights. Three parameters, wind velocity, 12-hour time-lag effect and wind direction, are used to construct the present wave model. The proposed model has high accuracy of calculating waves by a correlation coefficient over 0.8 and by a mean absolute error less than 0.3m. The proposed wave model is also extended to a point neighboring to the interesting point where the wave data were used to train the model. An example is examined to have a correlation coefficient of 0.76 between the predicted wave heights and observed data. Therefore, this proposed model is applicable for a eference of marine construction and navigating due to fast and accurately simulating waves.