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马克思主义、列宁主义、毛泽东思想、邓小平理论(4)
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在“
自然资源管理
”中,
命中:
9
条,耗时:小于0.01 秒
1.
A machine learning-based approach to predict the velocity profiles in small streams
作者:
Onur Genç
;
Ali Dağ
关键词:
Velocity profile
;
Small stream
;
Machine learning
;
ANNs
;
SVMs
;
k
;
NN
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
2.
Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (
SVMs
) Model
作者:
Raheleh Arabgol
;
Majid Sartaj
;
Keyvan Asghari
关键词:
Support vector machines
;
Nitrate concentration
;
Groundwater quality
;
Cross
;
validation
;
Grid search
刊名:Environmental Modeling & Assessment
出版者:Springer Netherlands
年:2016
3.
Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (
SVMs
) and Genetic Algorithms
作者:
Hamid R. Safavi (1) Mahdieh Esmikhani (1)
关键词:
Surface water
;
Groundwater
;
Conjunctive use
;
Support vector machines
;
Optimization
;
Simulation
;
Genetic algorithm
刊名:Water Resources Management
年:2013
4.
基于SVM的莱州湾叶绿素浓度遥感反演
作者:
王春磊
;
晁晖
;
孙迪
关键词:
叶绿素浓度
;
莱州湾
;
SVM
刊名:河北联合大学学报(自然科学版)
年:2014
5.
Error Correction Modelling of Wind Speed Through Hydro-Meteorological Parameters and Mesoscale Model: A Hybrid Approach
作者:
Asnor Muizan Ishak (1) (3) Renji Remesan (2) Prashant K. Srivastava (1) Tanvir Islam (1) Dawei Han (1)
关键词:
MM5 dynamical downscaling
;
Linear and non
;
linear regression
;
Artificial neural network (ANN)
;
Support vector machine (SVM)
;
Numerical weather prediction (NWP) model
;
Input variable selection
;
Meteorology and hydrology
刊名:Water Resources Management
年:2013
6.
Generalization performance of support vector machines and neural networks in runoff modeling
作者:
Mohsen Behzad
;
Keyvan Asghari
;
Morteza Eazi
;
Maziar Palhang
关键词:
Support vector machines (
SVMs
)
;
Artificial neural networks (ANNs)
;
Runoff prediction
;
Rainfall and climate data
刊名:Expert Systems with Applications
年:2009
7.
A multi-layer soil moisture data assimilation using support vector machines and ensemble particle filter
作者:
Zhongbo Yua
;
b
;
Di Liua
;
lenaliudi@163.com
;
Haishen Lü
a ;
Xiaolei Fua
;
Long Xianga
;
Yonghua Zhua
关键词:
Data assimilation
;
Support vector machines
;
Ensemble Kalman filter
;
Particle filter
;
Ensemble particle filter
刊名:Journal of Hydrology
年:2012
8.
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
9.
Effective typhoon characteristics and their effects on hourly reservoir inflow forecasting
作者:
Gwo-Fong Lin
;
Guo-Rong Chen
;
Pei-Yu Huang
关键词:
Typhoon characteristic
;
Reservoir inflow forecasting
;
Support vector machine
;
Reservoir operation system
;
Disaster warning system
;
Tropical cyclone
刊名:Advances in Water Resources
年:2010
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