An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting
Authors
Keywords
-
Journal
Water
Volume 9, Issue 3, Pages 153
Publisher
MDPI AG
Online
2017-02-24
DOI
10.3390/w9030153
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An Ensemble Empirical Mode Decomposition, Self-Organizing Map, and Linear Genetic Programming Approach for Forecasting River Streamflow
- (2016) Jonathan Barge et al. Water
- One-Day-Ahead Streamflow Forecasting Using Artificial Neural Networks and a Meteorological Mesoscale Model
- (2015) Alvaro Linares-Rodriguez et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Artificial intelligence based models for stream-flow forecasting: 2000–2015
- (2015) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Application of self-organising maps and multi-layer perceptron-artificial neural networks for streamflow and water level forecasting in data-poor catchments: the case of the Lower Shire floodplain, Malawi
- (2014) F. D. Mwale et al. HYDROLOGY RESEARCH
- Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting
- (2014) Zhiyong Liu et al. JOURNAL OF HYDROLOGY
- Monthly streamflow prediction using modified EMD-based support vector machine
- (2014) Shengzhi Huang et al. JOURNAL OF HYDROLOGY
- A Four-Stage Hybrid Model for Hydrological Time Series Forecasting
- (2014) Chongli Di et al. PLoS One
- Behavioural analysis of a time series–A chaotic approach
- (2014) T A FATHIMA et al. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
- Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series
- (2014) Ozgur Kisi et al. WATER RESOURCES MANAGEMENT
- Predictability of nonstationary time series using wavelet and EMD based ARMA models
- (2013) L. Karthikeyan et al. JOURNAL OF HYDROLOGY
- A hybrid SVM-PSO model for forecasting monthly streamflow
- (2013) Ch. Sudheer et al. NEURAL COMPUTING & APPLICATIONS
- Characterizing cross-scale chaotic behaviors of the runoff time series in an inland river of Central Asia
- (2013) Zengyun Hu et al. QUATERNARY INTERNATIONAL
- Observed hydrologic non-stationarity in far south-eastern Australia: implications for modelling and prediction
- (2013) F. H. S. Chiew et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Streamflow forecasting using least-squares support vector machines
- (2012) Ani Shabri et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Singular Spectrum Analysis and ARIMA Hybrid Model for Annual Runoff Forecasting
- (2011) Qiang Zhang et al. WATER RESOURCES MANAGEMENT
- Intermittent Streamflow Forecasting by Using Several Data Driven Techniques
- (2011) Ozgur Kisi et al. WATER RESOURCES MANAGEMENT
- Predictive uncertainty of chaotic daily streamflow using ensemble wavelet networks approach
- (2011) C. T. Dhanya et al. WATER RESOURCES RESEARCH
- A nonlinear time series analysis using two-stage genetic algorithms for streamflow forecasting
- (2008) Chang-Shian Chen et al. HYDROLOGICAL PROCESSES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More