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在“
自然资源管理
”中,
命中:
4
条,耗时:小于0.01 秒
1.
RBFNN
Versus Empirical Models for Lag Time Prediction in Tropical Humid Rivers
作者:
Mohammed Seyam
;
Faridah Othman
;
Ahmed El-Shafie
关键词:
Surface water
;
Lag time
;
Empirical models
;
Hydrology
;
Water resources
;
Tropical humid rivers
刊名:Water Resources Management
出版者:Springer Netherlands
年:2017
2.
Application of Support Vector Regression for Mid- and Long-term Runoff Forecasting in “Yellow River Headwater” Region
作者:
Haibo Chua
;
Jiahua Weia
;
b
;
weijiahua@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
Tiejian Lia
;
b
;
Kun Jiac
关键词:
Support vector regression
;
Runoff forecasting
;
Yellow River Headwater
;
Radial
basis
function
neural
network
刊名:Procedia Engineering
年:2016
3.
Enhancing Inflow Forecasting Model at Aswan High Dam Utilizing
Radial
Basis
Neural
Network
and Upstream Monitoring Stations Measurements
作者:
Ahmed El-Shafie
;
Alaa E. Abdin
;
Aboelmagd Noureldin and Mohd R. Taha
关键词:
Inflow forecasting
;
Reservoir operation
;
Artificial
neural
network
;
Nile River
;
Aswan High Dam
刊名:Water Resources Management
年:2009
4.
Improving Land Resource Evaluation Using Fuzzy
Neural
Network
Ensembles
作者:
Yue-Ju XUE
;
Yue-Ming HU
;
Shu-Guang LIU
;
Jing-Feng YANG
;
Qi-Chang CHEN
;
Shi-Tai BAO
关键词:
back propagation
neural
network
(BPNN)
;
data types
;
fuzzy
neural
network
ensembles
;
land resource evaluation
;
radial
basis
function
neural
network
(
RBFNN
)
刊名:Pedosphere
年:2007
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