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在“自然资源管理”中，命中：36条，耗时：小于0.01 秒

1.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

2.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

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.Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering

作者：Ozgur Kisi

关键词：Streamflow ; Forecasting ; Estimation ; Least square support vector regression

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

5.A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

作者：Ozgur Kisi ; Coskun Ozkan

关键词：Suspended sediment modeling ; Local weighted linear regression ; Least square support vector machine ; Neural networks ; Rating curve

刊名：Water Resources Management

出版者：Springer Netherlands

年：2017

6.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

7.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

8.Support Vector Regression and Time Series Analysis for the Forecasting of Bayannur's Total Water Requirement

作者：Xuchan Jua ; b ; Manjin Chengc ; Yuhong Xiad ; Fuqiang Quoc ; Yingjie Tiana ; tyj@ucas.ac.cn" class="auth_mail

关键词：support vector regression ; time series analysis ; total water requirement.

刊名：Procedia Computer Science

年：2014

9.A Comparison of Machine Learning Techniques for Modeling River Flow Time Series: The Case of Upper Cauvery River Basin

作者：Shivshanker Singh Patel ; Parthasarathy Ramachandran

关键词：River water discharge modeling ; ARIMA ; Artificial neural networks ; Support vector regression

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

10.NLPCC 2016 Shared Task Chinese Words Similarity Measure via Ensemble Learning Based on Multiple Resources

关键词：Chinese word similarity ; TYCCL ; Hownet ; Deep learning ; Support vector regression

刊名：Lecture Notes in Computer Science

年：2016

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