Using Radar Reflectivity to Evaluate Rainfall with Linear Regression and Artificial Neural Network
碩士 === 國立成功大學 === 土木工程學系 === 107
Main Authors: | Jen-SenLai, 賴俊森 |
---|---|
Other Authors: | Der-Her Lee |
Format: | Others |
Language: | zh-TW |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/p74rtk |
Similar Items
-
FLASH-FLOOD MODELLING WITH ARTIFICIAL NEURAL NETWORKS USING RADAR RAINFALL ESTIMATES
by: Dinu Cristian, et al.
Published: (2017-09-01) -
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
by: T. Soares dos Santos, et al.
Published: (2016-01-01) -
Forecasting Typhoon Rainfall and Groundwater Level by Artificial Neural Network and Multiple Regression Analysis
by: Wei-An Tong, et al.
Published: (2015) -
Typhoon real-time rainfall prediction using artificial intelligencecombine with radar reflectivity
by: Hsu, Chen, Chia, et al.
Published: (2019) -
Egg hatchability prediction by multiple linear regression and artificial neural networks
by: AC Bolzan, et al.
Published: (2008-06-01)