Abstract
The paper introduces a new approach to weather forecasting. Overall prediction process consisted of processing big data, turning processed data to visualization, and later this visualization has been used for enhancing forecasting methods using artificial neural networks. The following assumptions are proved: data visualization gives additional interpretation possibilities, it is possible to enhance weather forecasting by data visualization, neural networks can be used for visual weather data analysis, neural networks can be used for climate changes prediction.
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Buszta, A., Mazurkiewicz, J. (2015). Climate Changes Prediction System Based on Weather Big Data Visualisation. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Engineering of Complex Systems and Dependability. DepCoS-RELCOMEX 2015. Advances in Intelligent Systems and Computing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-319-19216-1_8
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DOI: https://doi.org/10.1007/978-3-319-19216-1_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19215-4
Online ISBN: 978-3-319-19216-1
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