Temporal Weather Prediction using Back Propagation based Genetic Algorithm Technique

Автор: Shaminder Singh, Jasmeen Gill

Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa

Статья в выпуске: 12 vol.6, 2014 года.

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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.

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

Короткий адрес: https://sciup.org/15010638

IDR: 15010638

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