Temporal Weather Prediction using Back Propagation based Genetic Algorithm Technique

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Author(s)

Shaminder Singh 1,* Jasmeen Gill 1

1. Punjab Technical University/Ph.D. Scholar, Kapurthala, 144601, Indian

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2014.12.08

Received: 17 Jan. 2014 / Revised: 10 May 2014 / Accepted: 24 Aug. 2014 / Published: 8 Nov. 2014

Index Terms

Temporal Weather Forecasting, Time Series Prediction, Artificial Neural Networks, Back Propagation Algorithm, Genetic Algorithms

Abstract

Hybrid back propagation based genetic algorithm approach is a popular way to train neural networks for weather prediction. The major drawback of this method is that weather parameters were assumed to be independent of each other and their temporal relation with one another was not considered. So in the present research a modified time series based weather prediction model is proposed to eliminate the problems incurred in hybrid BP/GA technique. The results are very encouraging; the proposed temporal weather prediction model outperforms the previous models while performing for dynamic and chaotic weather conditions.

Cite This Paper

Shaminder Singh, Jasmeen Gill, "Temporal Weather Prediction using Back Propagation based Genetic Algorithm Technique", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.12, pp.55-61, 2014. DOI:10.5815/ijisa.2014.12.08

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