An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting-Reference-Cited by-同舟云学术

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An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting

Published:2017-02-23 Issue:3 Volume:9 Page:153
ISSN:2073-4441
Container-title:Water
language:en
Short-container-title:Water

Author:

Zhao Xuehua,Chen Xu,Xu Yongxin,Xi Dongjie,Zhang Yongbo,Zheng Xiuqing

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Link

http://www.mdpi.com/2073-4441/9/3/153/pdf

Reference32 articles.

1. Artificial intelligence based models for stream-flow forecasting: 2000–2015

2. Intermittent Streamflow Forecasting by Using Several Data Driven Techniques

3. An Ensemble Empirical Mode Decomposition, Self-Organizing Map, and Linear Genetic Programming Approach for Forecasting River Streamflow

4. Assessing the impact of climate variability and human activities on streamflow variation

5. A nonlinear time series analysis using two-stage genetic algorithms for streamflow forecasting

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4. Improving the accuracy of rainfall-runoff relationship estimation using signal processing techniques, bio-inspired swarm intelligence and artificial intelligence algorithms;Earth Science Informatics;2023-08-22

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