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Neural Computing and Applications
Published in: Neural Computing and Applications 17/2020

10-03-2020 | Original Article

Prediction of convective clouds formation using evolutionary neural computation techniques

Authors: David Guijo-Rubio, Pedro A. Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio Manuel Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez

Published in: Neural Computing and Applications | Issue 17/2020

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Abstract

The prediction of convective clouds formation is a very important problem in different areas such as agriculture, natural hazards prevention or transport-related facilities. In this paper, we evaluate the capacity of different types of evolutionary artificial neural networks to predict the formation of convective clouds, tackling the problem as a classification task. We use data from Madrid-Barajas airport, including variables and indices derived from the Madrid-Barajas airport radiosonde station. As objective variable, we use the cloud information contained in the METAR and SPECI meteorological reports from the same airport and we consider a prediction time horizon of 12 h. The performance of different types of evolutionary artificial neural networks has been discussed and analysed, including three types of basis functions (sigmoidal unit, product unit and radial basis function) and two types of models, a mono-objective evolutionary algorithm with two objective functions and a multi-objective evolutionary algorithm optimised by the two objective functions simultaneously. We show that some of the developed neuro-evolutionary models obtain high quality solutions to this problem, due to its high unbalance characteristic.
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Footnotes
2
Further information of the parameters considered can be found in [38, 56, 57], whereas, more information regarding the ANNs can be obtained from [37].
 
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Metadata
Title
Prediction of convective clouds formation using evolutionary neural computation techniques
Authors
David Guijo-Rubio
Pedro A. Gutiérrez
Carlos Casanova-Mateo
Juan Carlos Fernández
Antonio Manuel Gómez-Orellana
Pablo Salvador-González
Sancho Salcedo-Sanz
César Hervás-Martínez
Publication date
10-03-2020
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 17/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-020-04795-w

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