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Shaminder Singh

Work place: Punjab Technical University/Ph.D. Scholar, Kapurthala, 144601, India

E-mail: er_shaminder@yahoo.co.in

Website:

Research Interests: Neural Networks, Computer Networks

Biography

Shaminder Singh was born on December 5, 1983. He has received his B.Tech. and M.Tech. degrees from Punjab Technical University, in 2005 and  2013, respectively. Presently he is pursuing Ph. D. from Punjab Technical University. In 2005, he joined BCET, Ludhiana and worked as assistant Professor in Computer Science and Engineering department. Currently he is serving as Assistant Professor at Gulzar Group of Institutes, India.

He has published 15 research articles in various journals and conference papers in the area of Neural Networks. His representative published articles lists as follow: Training Back Propagation Neural Networks with Genetic Algorithm for Weather Forecasting ( 8th IEEE SISY, Subotica Serbia, 2010), Time Series based Temperature Prediction using Back Propagation with Genetic Algorithm Technique (International Journal of Computer Science Issues, 2011), Artificial Intelligent Weather forecasting System: A Case Study(PIMT J. of Research, 2013).

Author Articles
Temporal Weather Prediction using Back Propagation based Genetic Algorithm Technique

By Shaminder Singh Jasmeen Gill

DOI: https://doi.org/10.5815/ijisa.2014.12.08, Pub. Date: 8 Nov. 2014

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.

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