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在“
自然资源管理
”中,
命中:
6
条,耗时:小于0.01 秒
1.
Hydraulic Parameters of Coastal Aquifer Systems by Direct Methods and an Extended Tide¨CAquifer Interaction
Technique
作者:
Madan K. Jha
;
Deldan Namgial
;
Y. Kamii and Stefan Peiffer
关键词:
Tide–
;
aquifer interaction model
;
Tidal efficiency method
;
Time lag method
;
Aquifer parameters
;
Levenberg–
;
Marquardt
technique
;
Fourier analysis
;
Spring and neap tides
;
Coastal aquifer
刊名:Water Resources Management
年:2008
2.
Product-Units neural networks for catchment runoff forecasting
作者:
Adam P. Piotrowski
;
Jaros?aw J. Napiorkowski
关键词:
Catchment runoff forecasting
;
Product-Units neural networks
;
Evolutionary computation
;
Levenberg&ndash
;
Marquardt
algorithm
;
Differential evolution
;
Noise injection
刊名:Advances in Water Resources
年:2012
3.
Rainfall-Runoff Modeling: Comparison of Two Approaches with Different Data Requirements
作者:
A. Bhadra
;
A. Bandyopadhyay
;
R. Singh and N. S. Raghuwanshi
关键词:
Rainfall
;
runoff modeling
;
SCS curve number method
;
Muskingum routing
;
Artificial neural network
;
Levenberg
Marquardt
刊名:Water Resources Management
年:2010
4.
Calibration of subsurface batch and reactive-transport models involving complex biogeochemical processes
作者:
L. Shawn Matott
;
Alan J. Rabideau
关键词:
Subsurface modeling
;
Reactive transport
;
Biogeochemical processes
;
Calibration
;
Parameter estimation
;
Particle swarm optimization
;
Multi-start nonlinear regression
刊名:Advances in Water Resources
年:2008
5.
One-dimensional inversion of geo-electrical resistivity sounding data using artificial neural networks—a case study
作者:
Singh
;
U.K.
;
Tiwari
;
R.K.
;
Singh
;
S.B.
关键词:
VES data
;
Ground water
;
Back-propagation
;
Adaptive back-propagation
;
Levenberg&ndash
;
Marquardt
algorithm
;
ANN
刊名:Computers and Geosciences
年:2005
6.
Inverse modelling
technique
s for determining hydraulic properties of coarse-textured porous media by transient outflow methods
作者:
Nü
;
tzmann
;
G.
;
Thiele
;
M.
;
Maciejewski
;
S.
;
Joswig
;
K.
关键词:
porous media
;
hydraulic properties
;
unsaturated flow
;
parameter identification
刊名:Advances in Water Resources
年:1998
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