A Study of Flood Inundation Extent EstimationUsing Aritificial Neural Networks
碩士 === 淡江大學 === 水資源及環境工程學系碩士班 === 98 === At present, flood defense strategies of the flood authorities are to estimate the flood inundation extent and maximum flood depth from the existing flood inundation potential database generated by the two-dimensional overland flow simulation model with severa...
Main Authors: | ZI-HONG ZHUANG, 莊子弘 |
---|---|
Other Authors: | Chiu-Chang Li |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/05066450864503746408 |
Similar Items
-
Application of aritificial neural networks to the optimization of a catalytic reforming unit
by: Hsin-fa Huang, et al.
Published: (2011) -
Prediction of Maximum Flood Inundation Extents With Resilient Backpropagation Neural Network: Case Study of Kulmbach
by: Qing Lin, et al.
Published: (2020-08-01) -
Bayesian calibration of flood inundation simulators using an observation of flood extent
by: Woodhead, Simon Peter Barratt
Published: (2007) -
Corrigendum: Prediction of Maximum Flood Inundation Extents with Resilient Backpropagation Neural Network: Case Study of Kulmbach
by: Qing Lin, et al.
Published: (2021-07-01) -
Real-time filtering for human pose estimationusing multiple Kinects
by: STOHNE, VILLE
Published: (2014)