Application of Neuro-Fuzzy on Rainfall Analysis ─ Case Study of Miaoli Area ─
| Autor: | Zhi-Feng Yang, 楊志鋒 |
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| Rok vydání: | 2007 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 95 In this research, the six factors affecting rainfall are selected as the input variables. They are the maximum radiation, the wind direction, the wind velocity, atmospheric pressure, temperature and humidity. These variables were considered to have bell-shaped function distribution to set up the membership of fuzzy function to discuss the rainfall of Miaoli. Fuzzification transfers the input data and creates the fuzzy database from the method of the neural nets and its computation program MATLAB/ANFIS. Then the resulting rainfalls were obtained. The estimated rainfall was compared with the observation rainfall of the station .From the comparison, the learning effects were analyzed. Using the typhoon data from the weather stations of Gongguan Elementary School in Miaoli County and National Yuanli Senior High School, a fuzzy calculation and analysis by using rainfall data can be done. For the results in the learning stage, the accuracies of the estimate rainfalls for the weather stations were good and the relative error was about 30.3% in Gongguan Elementary School in Miaoli County, and that was 19.2% in National Yuanli Senior High School. For the results in predicting stage, the accuracies of rainfalls of relative error for weather stations was about 74.5% in Gongguan Elementary School in Miaoli County, and that was 59.8% in National Yuanli Senior High School. The relative error were larger than that of the learning stage. The results of this study can be used as a reference for the rainfall prediction in the future. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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