搜索页_Support vector regression (SVR)

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1.Integration of Shuffled Frog Leaping Algorithm and Support Vector Regression for Prediction of Water Quality Parameters

作者：N. Mahmoudi ; H. Orouji ; E. Fallah-Mehdipour

关键词：Support vector regression (SVR) ; Shuffled frog leaping algorithm (SFLA) ; Water quality prediction

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

2.Application of Support Vector Regression for Mid- and Long-term Runoff Forecasting in “Yellow River Headwater” Region

作者：Haibo Chua ; Jiahua Weia ; b ; weijiahua@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Tiejian Lia ; b ; Kun Jiac

关键词：Support vector regression ; Runoff forecasting ; Yellow River Headwater ; Radial basis function neural network

刊名：Procedia Engineering

年：2016

3.Wavelet Genetic Algorithm-Support Vector Regression (Wavelet GA-SVR) for Monthly Flow Forecasting

作者：Aman Mohammad Kalteh (1)

关键词：Genetic algorithm ; Support vector regression ; Monthly river flow ; Discrete wavelet transform

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

4.Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction

作者：Qi Ouyang ; Wenxi Lu ; Xin Xin ; Yu Zhang ; Weiguo Cheng ; Ting Yu

关键词：Rainfall forecasting ; Support vector regression ; Ensemble empirical mode decomposition ; Phase ; space reconstruction

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

5.Operating Rules Derivation of Jinsha Reservoirs System with Parameter Calibrated Support Vector Regression

作者：Chang-ming Ji (1) Ting Zhou (1) Hai-tao Huang (1)

关键词：Operating rules ; Support Vector Regression ; Reservoir operation ; Parameter calibration ; Hybrid programming

刊名：Water Resources Management

年：2014

6.Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models

作者：Maryam Shafaei ; Ozgur Kisi

关键词：Forecasting ; Lake level ; Wavelet ; ARMA ; Wavelet ; ANFIS ; Wavelet ; SVR

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

7.Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

作者：Zaher Mundher Yaseen ; Ozgur Kisi ; Vahdettin Demir

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

8.Predictive Temporal Data-Mining Approach for Evolving Knowledge Based Reservoir Operation Rules

作者：S. Mohan ; N. Ramsundram

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

9.Estimation of the Change in Lake Water Level by Artificial Intelligence Methods

作者：Meral Buyukyildiz ; Gulay Tezel ; Volkan Yilmaz

关键词：Adaptive network ; based fuzzy inference system ; Artificial neural networks ; Lake Beysehir ; Particle swarm optimization ; Support vector regression ; Water level

刊名：Water Resources Management

年：2014

10.Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms

作者：Halil Ibrahim Erdala ; halilerdal@yahoo.com ; Onur Karakurtb ; 1 ; karakurtonur@yahoo.com

关键词：Bagging (bootstrap aggregating) ; Classification and regression trees ; Ensemble learning ; Stochastic gradient boosting ; Streamflow prediction ; Support vector regression

刊名：Journal of Hydrology

年：2013

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