QPESUMS Real-time Rainfall Forecasting Using Machine Learning Techniques
碩士 === 國立成功大學 === 水利及海洋工程學系 === 104 === The purpose of this study is to develop a real-time rainfall forecasting model to predict lead-time 1~3 hours rainfall by using two machine learning techniques, Random Forests (RF) and Support Vector Machine (SVM), with QPESUMS data as input. In this study, th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/20687792535874780468 |