Simulating Typhoon Rainfall with Artificial Neural Network
碩士 === 國立成功大學 === 水利及海洋工程學系碩博士班 === 95 === Typhoon brought abundant rainfall on its covering area along moving path. The characteristics of typhoon itself and local terrain and meteorological factors of a gage station affect the amount of rainfall. It is difficult to estimate the real-time rainfal...
Main Authors: | Chen-Kuei Wang, 王珍貴 |
---|---|
Other Authors: | Frederick N.-F. Chou |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/68782924427622053889 |
Similar Items
-
Applying Artificial Neural Network in Estimating of Typhoon - Rainfall
by: Po-Cheng Lin, et al.
Published: (2000) -
Artificial neural network for typhoon rainfall and flood forecasting
by: Fei-Yu Tsai, et al.
Published: (2006) -
Grid based Artificial Neural Network Typhoon Rainfall Model
by: Ming-Hung Huang, et al.
Published: (2008) -
The Research on Application of Artificial Neural Networks in Real-time Typhoon Rainfall Forecasting
by: Chun-Wen Lo, et al.
Published: (2010) -
Neural Networks Approach for Typhoon Rainfall Prediction
by: Yi-Cheng Chuang, et al.
Published: (2001)