A hybrid model for monthly time series forecasting

This study aims to propose a hydrological model for estimating the future value for monthly river flow. The proposed model was constructed by combining three components: i.e. Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA) and Least Square Support Vector Machine (LSSVM). The fir...

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Bibliographic Details
Main Authors: Pandhiani, Siraj Muhammed, Shabri, Ani
Format: Article
Published: Natural Sciences Publishing Co. 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/55471/
http://dx.doi.org/10.12785/amis/090622
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Institution: Universiti Teknologi Malaysia
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