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在“
自然资源管理
”中,
命中:
14
条,耗时:小于0.01 秒
1.
A Comparative Assessment Between Three Machine
Learning
Models and Their Performance Comparison by Bivariate and Multivariate
Statistical
Methods in Groundwater Potential Mapping
作者:
Seyed Amir Naghibi
;
Hamid Reza Pourghasemi
关键词:
Groundwater potential mapping
;
Boosted regression tree
;
Classification and regression tree
;
Random forest
;
General linear model
;
Evidential belief function
;
GIS
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
2.
Pan Evaporation Simulation Based on Daily Meteorological Data Using Soft Computing
Techniques
and Multiple Linear Regression
作者:
Anurag Malik
;
Anil Kumar
关键词:
Pan evaporation
;
ANN
;
CANFIS
;
MLR
;
Pantnagar
刊名:Water Resources Management
出版者:Springer Netherlands
年:2015
3.
Data-driven methods to improve baseflow prediction of a regional groundwater model
作者:
Tianfang Xu
;
txu3@illinois.edu" class="auth_mail" title="E-mail the corresponding author
;
Albert J. Valocchi
关键词:
Statistical
learning
;
Baseflow
;
Predictive error
刊名:Computers & Geosciences
年:2015
4.
Machine
Learning
Techniques
for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application
作者:
Prashant K. Srivastava (1) Dawei Han (1) Miguel Rico Ramirez (1) Tanvir Islam (1)
关键词:
Soil moisture
;
SMOS
;
Soil moisture deficit
;
Artificial intelligence
;
Support vector machine
;
Relevance vector machine
;
Artificial neural network
;
Generalized linear models
刊名:Water Resources Management
年:2013
5.
Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods
作者:
Z. Fuat Toprak (1) Nizamettin Hamidi (1) Ozgur Kisi (2) Re?it Gerger (3)
关键词:
dispersion
;
fuzzy logic
;
dimensionless longitudinal dispersion coefficient
;
neural networks
;
natural channel
刊名:KSCE Journal of Civil Engineering
年:2014
6.
Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain)
作者:
J. A. Vilán Vilán (1) J. R. Alonso Fernández (2) P. J. García Nieto (3) F. Sánchez Lasheras (4) F. J. de Cos Juez (5) C. Díaz Mu?iz (2)
关键词:
Statistical
learning
techniques
;
Cyanobacteria
;
Cyanotoxins
;
Support vector machines (SVM)
;
Multilayer perceptron networks (MLP)
;
Regression analysis
刊名:Water Resources Management
年:2013
7.
Estimating vegetation height and canopy cover from remotely sensed data with machine
learning
作者:
Daniela Stojanova
;
Panč
;
e Panov
;
Valentin Gjorgjioski
;
Andrej Kobler
;
Saš
;
o Dž
;
eroski
关键词:
Remote sensing
;
LiDAR
;
Landsat
;
Vegetation height
;
Canopy cover machine
;
Learning
刊名:Ecological Informatics
年:2010
8.
Mapping eucalypt forest susceptible to dieback associated with bell miners (Manorina melanophys) using laser scanning, SPOT 5 and ancillary topographical data
作者:
Andrew Haywooda
;
Andrew.Haywood@dse.vic.gov.au
;
Christine Stoneb
关键词:
Eucalypt forest dieback
;
Bell miners
;
Laser scanning
;
SPOT 5
;
Spatial modelling
;
Predictive mapping
刊名:Ecological Modelling
年:2011
9.
ROOT — A C framework for petabyte data storage,
statistical
analysis and visualization
作者:
I. Antcheva
;
M. Ballintijn
;
B. Bellenot
;
M. Biskup
;
R. Brun
;
N. Buncic
;
Ph. Canal
;
D. Casadei
;
O. Couet
;
V. Fine
;
L. Franco
;
G. Ganis
;
A. Gheata
;
D. Gonzalez Maline
;
M. Goto
;
J. Iwaszkiewicz
;
A. Kresh
关键词:
C
;
Object-oriented
;
Framework
;
Interpreter
;
Data storage
;
Data analysis
;
Visualization
刊名:Computer Physics Communications
年:2009
10.
On the Capability of Support Vector Machines to Classify Lithology from Well Logs
作者:
A. Al-Anazi and I. D. Gates
关键词:
Support vector machines
;
discriminant analysis
;
probabilistic neural networks
;
facies classification
;
log data
;
core data
刊名:Natural Resources Research
年:2010
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