Hybrid Wavelet-Postfix-GP Model for Rainfall Prediction of Anand Region of India
Joint Authors
Chaudhary, Sanjay
Dabhi, Vipul K.
Source
Advances in Artificial Intelligence
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
An accurate prediction of rainfall is crucial for national economy and management of water resources.
The variability of rainfall in both time and space makes the rainfall prediction a challenging task.
The present work investigates the applicability of a hybrid wavelet-postfix-GP model for daily rainfall prediction of Anand region using meteorological variables.
The wavelet analysis is used as a data preprocessing technique to remove the stochastic (noise) component from the original time series of each meteorological variable.
The Postfix-GP, a GP variant, and ANN are then employed to develop models for rainfall using newly generated subseries of meteorological variables.
The developed models are then used for rainfall prediction.
The out-of-sample prediction performance of Postfix-GP and ANN models is compared using statistical measures.
The results are comparable and suggest that Postfix-GP could be explored as an alternative tool for rainfall prediction.
American Psychological Association (APA)
Dabhi, Vipul K.& Chaudhary, Sanjay. 2014. Hybrid Wavelet-Postfix-GP Model for Rainfall Prediction of Anand Region of India. Advances in Artificial Intelligence،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-493002
Modern Language Association (MLA)
Dabhi, Vipul K.& Chaudhary, Sanjay. Hybrid Wavelet-Postfix-GP Model for Rainfall Prediction of Anand Region of India. Advances in Artificial Intelligence No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-493002
American Medical Association (AMA)
Dabhi, Vipul K.& Chaudhary, Sanjay. Hybrid Wavelet-Postfix-GP Model for Rainfall Prediction of Anand Region of India. Advances in Artificial Intelligence. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-493002
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493002