搜索页_ Support vector machine (SVM)

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在“自然资源管理”中，命中：49条，耗时：0.0169911 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.Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform

作者：Mohamed Shenify ; Amir Seyed Danesh ; Milan Gocić…

关键词：Precipitation ; Support vector machine ; Discrete wavelet transform ; Genetic programming ; Artificial neural network

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

3.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

4.Wavelet Analysis-Support Vector Machine Coupled Models for Monthly Rainfall Forecasting in Arid Regions

作者：Qi Feng ; Xiaohu Wen ; Jianguo Li

关键词：Discrete wavelet transforms ; Support vector machine ; Rainfall ; Arid regions ; Forecasting

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

5.Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions

作者：Xiaohu Wen ; Jianhua Si ; Zhibin He ; Jun Wu ; Hongbo Shao…

关键词：Support vector machine ; Reference evapotranspiration modeling ; Limited climatic data ; Extreme arid regions

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

6.Evaluating the impact of classification algorithms and spatial resolution on the accuracy of land cover mapping in a mountain environment in Pakistan

作者：Sami Ullah ; Muhammad Shafique ; Muhammad Farooq…

关键词：Land coverk ; nearest neighbor ; Support vector machine ; Random forest ; Neural network ; Landsat8 ; Spot5

刊名：Arabian Journal of Geosciences

出版者：Springer Berlin Heidelberg

年：2017

7.A Hybrid Statistical Downscaling Method Based on the Classification of Rainfall Patterns

作者：Gwo-Fong Lin ; Ming-Jui Chang ; Jyue-Ting Wu

关键词：Climate change ; Statistical downscaling ; Detrended fluctuation analysis ; Support vector machine ; Improved self ; organizing linear output map

刊名：Water Resources Management

出版者：Springer Netherlands

年：2017

8.Improving the Long Lead-Time Inundation Forecasts Using Effective Typhoon Characteristics

作者：Bing-Chen Jhong ; Jhih-Huang Wang ; Gwo-Fong Lin

关键词：Inundation forecasting ; Typhoon characteristics ; Long lead ; time forecasting ; Multi ; objective genetic algorithm ; Support vector machine ; Neural network

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

9.Evaluation of a Two-Stage SVM and Spatial Statistics Methods for Modeling Monthly River Suspended Sediment Load

作者：Vahid Nourani ; Farhad Alizadeh ; Kiyoumars Roushangar

关键词：Suspended sediment load ; Support vector machine ; Spatial statistics ; Ajichay watershed

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

10.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

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