碩士 / 國立中山大學 / 海洋環境及工程學系研究所 / 88 / In the design and plan of the coast engineering, long-term and continual tidal database represent the indispensable role. This paper collect the tidal database, their locations include the ocean around the Taiwan and the South China Sea. Use the artificial neural networks (ANN) to build model and find the relationship between neighbor tidal observation stations. There are many reasons to cause the tide phenomenon, include the tide generating force, season, coastal geography, geography of sea floor, resonance of gulf or estuary, change depth of sea, and so on, it will be determined by local environment. The tide analysis and prediction usually use the harmonic analysis method. This method need long-term and continual tidal record, and the theory depend on the tide generating force, it has limit about accuracy.
The application of artificial neural networks is used in nonlinear science problems in general cases. The back propagation (BP) networks is the one model of the artificial neural networks, this paper use ANN-BP model to build the relationship from different tide observed stations, and verify the quality of model. From the result of verified models, the ANN-BP model can predict and supplement the tide record very well. The items of research include: 【1】 the relationship between two neighbor tide observed stations. (one station input, one station output) 【2】the relationship between three neighbor tide observed stations. (two station input, one station output) 【3】 input several tide observed stations and output one station. 【4】 the correlation of connected weight and threshold between different models. 【5】 change the parameters of ANN-BP model and discus the affect of model’s quality. 【6】 application of truly case.
From the result of this paper, in the design and plan of the coast engineering, the long-term tide observed record can be predict from the ANN-BP model and tide record of neighbor observed stations. When the tide record has miss or lost cause by machine or other reasons, the ANN-BP model can supplement the lost tide record well. This paper show the ANN-BP model can be apply to predict and supplement the tide record very well, and will be possible applied method.
| Identifer | oai:union.ndltd.org:TW/088NSYS5282013 |
| Date | January 2000 |
| Creators | Chu-Chih Chun, 朱執均 |
| Contributors | Bang-Fuh Chen, 陳邦富 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 97 |
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