Application of BP Neural Network Algorithm in Traditional Hydrological Model for Flood Forecasting-Reference-Cited by-同舟云学术

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Application of BP Neural Network Algorithm in Traditional Hydrological Model for Flood Forecasting

Published:2017-01-13 Issue:1 Volume:9 Page:48
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Wang Jianjin,Shi Peng,Jiang Peng,Hu Jianwei,Qu Simin,Chen Xingyu,Chen Yingbing,Dai Yunqiu,Xiao Ziwei

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/9/1/48/pdf

Reference44 articles.

1. Learning internal representation by back propagation;Rumelhart,1986

2. Flood hazard risk assessment model based on random forest

3. Flood Forecasting and Warning at the River Basin and at the European Scale

4. How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States?

5. Changes of seasonal storm properties in California and Nevada from an ensemble of climate projections

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