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在“
自然资源管理
”中,
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5
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1.
A Hybrid Statistical Downscaling Method Based on the Classification of Rainfall Patterns
作者:
Gwo-Fong Lin
;
Ming-Jui Chang
;
Jyue-Ting Wu
关键词:
Climate change
;
Statistical downscaling
;
Detrended fluctuation analysis
;
Support vector machine
;
Improved self
;
organizing
linear
output
map
刊名:Water Resources Management
出版者:Springer Netherlands
年:2017
2.
Conceptual evaluation of continental land-surface model behaviour
作者:
L.J.M. Peetersa
;
luk.peeters@csiro.au
;
R.S. Crosbiea
;
R.C. Doblea
;
A.I.J.M. Van Dijkb
关键词:
Landscape model
;
Conceptual model evaluation
;
Self
Organizing
Map
;
Australia
刊名:Environmental Modelling and Software
年:2013
3.
Neural computing modeling of the reference crop evapotranspiration
作者:
Adebayo J.
;
Adeloyea
;
;
a.j.adeloye@hw.ac.uk
;
Rabee
;
Rustumb
;
Ibrahim D.
;
Kariyamac
关键词:
Reference crop evapotranspiration
;
Crop water requirements
;
Artificial intelligence models
;
Kohonen self-
organizing
map
;
Neural networks
;
FAO Penman&ndash
;
Monteith method
刊名:Environmental Modelling and Software
年:2012
4.
Regional flood frequency analysis by combining self-
organizing
feature
map
and fuzzy clustering
作者:
V.V. Srinivas
;
Shivam Tripathi
;
A. Ramach
;
ra Rao
;
Rao S. Govindaraju
关键词:
Regionalization
;
Flood frequency analysis
;
L-moments
;
Self-
organizing
map
s
;
Cluster analysis
;
Cluster validation measures
刊名:Journal of Hydrology
年:2008
5.
Improved streamflow forecasting using self-
organizing
radial basis function artificial neural networks
作者:
Moradkhani
;
Hamid
;
Hsu
;
Kuo-lin
;
Gupta
;
Hoshin V.
;
Sorooshian
;
Soroosh
关键词:
Streamflow forecasting
;
Neural network
;
Radial basis function
;
Self-
organizing
feature
map
;
Cross-validation
刊名:Journal of Hydrology
年:2004
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