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在“
自然资源管理
”中,
命中:
15
条,耗时:0.0119625 秒
1.
Urmia lake
water
level
fluctuation
hydro informatics
modeling
using support vector machine and conjunction of wavelet and neural network
作者:
Mojtaba Noury (1) Hosein Sedghi (2) Hosein Babazedeh (2) Hedayat Fahmi (2)
关键词:
Hydro Informatics
Modeling
;
Urmia Lake
;
Support Vector Machine (SVM)
;
Neural Wavelet Network (NWN)
;
water
level
fluctuation
modeling
刊名:
Water
Resources
年:2014
2.
Comparison of Different Data-Driven Approaches for
Modeling
Lake
Level
Fluctuation
s: The Case of Manyas and Tuz Lakes (Turkey)
作者:
Hadi Sanikhani (1) (2) Ozgur Kisi (3) Hamed Kiafar (4) Sarvin Zaman Zad Ghavidel (5)
关键词:
Lake
level
fluctuation
s
;
Neuro
;
fuzzy
;
Grid partition
;
Subtractive clustering
;
Genetic programming
刊名:
Water
Resources Management
出版者:Springer Netherlands
年:2015
3.
Prediction of Urmia Lake
Water
-
Level
Fluctuation
s by Using Analytical, Linear Statistic and Intelligent Methods
作者:
Hossein Kakahaji (1) Hamed Dehghan Banadaki (2) Abbas Kakahaji (3) Abdulamir Kakahaji (4)
关键词:
Urmia Lake
;
Lake
level
;
Simulation
;
Prediction
;
PNN
;
LLNF
刊名:
Water
Resources Management
年:2013
4.
Conjunctive Use Management under Uncertainty Conditions in Aquifer Parameters
作者:
M. Mohammad Rezapour Tabari
关键词:
Conjunctive use
;
Uncertainty
;
Membership function
;
Ground
water
modeling
;
Reliability
刊名:
Water
Resources Management
出版者:Springer Netherlands
年:2015
5.
Geoinformatic
Modeling
of Ground
water
Resource Mapping of Shear Zone Regions- A Case Study on Attur Valley, Tamil Nadu, India
作者:
V. Thirukumaran (1) C. J. Kumanan (2) T. K. Biswal (3)
关键词:
Shear zones
;
Ground
water
resources
;
Attur valley
;
Geoinformatic
modeling
;
Iso
;
resistivity
;
Pump test
;
Water
level
fluctuation
method
刊名:Journal of the Indian Society of Remote Sensing
年:2014
6.
Forecasting Surface
Water
Level
Fluctuation
s of Lake Van by Artificial Neural Networks
作者:
Abdüsselam Altunkaynak
关键词:
Hydrologic budget
;
Lake
level
;
Neural networks
;
Prediction
刊名:
Water
Resources Management
出版者:Springer Netherlands
年:2007
7.
Five centuries of Upper Indus River flow from tree rings
作者:
Edward R. Cooka
;
drdendro@ldeo.columbia.edu
;
Jonathan G. Palmerb
;
c
;
Moinuddin Ahmedd
;
Connie A. Woodhousee
;
Pavla Fenwickc
;
Muhammad Usama Zafard
;
Muhammad Wahabd
;
Nasrullah Khand
关键词:
Dendroclimatology
;
Upper Indus Basin discharge
;
Streamflow reconstruction from tree rings
;
Semi-parametric prediction intervals
;
Discharge regime shifts
刊名:Journal of Hydrology
年:2013
8.
Hybrid neural
modeling
for ground
water
level
prediction
作者:
Nikunja B. Dash
;
Sudhindra N. Panda
;
Renji Remesan and Narayan Sahoo
关键词:
Training algorithms
;
Prediction
;
Genetic algorithm
;
ANN
;
Winter
;
Ground
water
;
India
刊名:Neural Computing & Applications
年:2010
9.
Comparison of two different data-driven techniques in
modeling
lake
level
fluctuation
s in Turkey
作者:
Mesut Ç
;
imen
;
Ozgur Kisi
关键词:
Lake
level
;
Modeling
;
Support vector machines
;
Neural networks
刊名:Journal of Hydrology
年:2009
10.
Investigation of ground
water
response to overland flow and topography using a coupled MIKE SHE/MIKE 11
modeling
system for an arid
water
shed
作者:
Hai-Long Liu
;
Xi Chen
;
An-Ming Bao
;
Ling Wang
关键词:
Ground
water
recharge
;
Distributed hydrological model
;
Wavelet–
;
fractal
;
Flooding in arid areas
刊名:Journal of Hydrology
年:2007
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