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在“自然资源管理”中，命中：26条，耗时：小于0.01 秒

1.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

2.A Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida

作者：Yicheng Gong ; Yongxiang Zhang ; Shuangshuang Lan ; Huan Wang

关键词：Groundwater level ; Artificial neural network ; Support vector machine ; Adaptive neuro fuzzy inference system

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

3.Directed acyclic graph support vector machines in classification of benthic macroinvertebrate samples

作者：Henry Joutsijoki ; Markku Siermala ; Martti Juhola

关键词：Directed acyclic graph support vector machines ; Benthic macroinvertebrates ; Machine learning ; Classification

刊名：Artificial Intelligence Review

出版者：Springer Netherlands

年：2015

4.Water Quality Zoning Using Probabilistic Support Vector Machines and Self-Organizing Maps

作者：Mohammad Reza Nikoo (1) Najmeh Mahjouri (2)

关键词：Self ; Organizing Map (SOM) ; Fuzzy Inference System (FIS) ; Probabilistic Support Vector Machines (PSVMs) ; Water Quality Index (WQI) ; Water quality zoning

刊名：Water Resources Management

年：2013

5.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

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.A Comparative Assessment of Support Vector Machines, Probabilistic Neural Networks, and K-Nearest Neighbor Algorithms for Water Quality Classification

作者：Fereshteh Modaresi (1) Shahab Araghinejad (2)

关键词：Classification ; Water quality ; Support vector machine ; Probabilistic neural network ; K ; nearest neighbor ; CCME

刊名：Water Resources Management

年：2014

8.Global and decomposition evolutionary support vector machine approaches for time series forecasting

作者：Paulo Cortez ; Juan Peralta Donate

关键词：Estimation distribution algorithm ; Support vector machines ; Time series ; Decomposition forecasting ; Model selection

刊名：Neural Computing & Applications

年：2014

9.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

10.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 Lüa ; 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

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