Characterization of Climatic Variations in Spain at the Regional Scale: A Computational Intelligence Approach

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Valdes:2008:ijcnn,

• author = "Julio J. Valdes and Antonio Pou and Robert Orchard",
• title = "Characterization of Climatic Variations in Spain at the Regional Scale: A Computational Intelligence Approach",
• booktitle = "2008 IEEE World Congress on Computational Intelligence",
• year = "2008",
• editor = "Jun Wang",
• pages = "470--476",
• address = "Hong Kong",
• month = "1-6 " # jun,
• organization = "IEEE Computational Intelligence Society",
• publisher = "IEEE Press",
• isbn13 = "978-1-4244-1821-3",
• file = "NN0185.pdf",
• DOI = "doi:10.1109/IJCNN.2008.4633834",
• ISSN = "1098-7576",
• keywords = "genetic algorithms, genetic programming, Fletcher-Reeves optimization, Kolmogorov-Smirnov dissimilarity analysis, Spain, cluster analysis, computational intelligence approach, data mining, differential evolution, hybrid optimization, principal component analysis, regional climatic variation, similarity-preservation feature generation, time-varying climatic variation characterization, climatology, data mining, geophysical techniques, geophysics computing, pattern clustering, principal component analysis",
• abstract = "Computational intelligence and other data mining techniques are used for characterising regional and time varying climatic variations in Spain in the period 1901-2005. Daily maximum temperature data from 10 climatic stations are analysed (with and without missing values) using principal components (PC), similarity-preservation feature generation, clustering, Kolmogorov-Smirnov dissimilarity analysis and genetic programming (GP). The new features were computed using hybrid optimisation (differential evolution and Fletcher- Reeves) and GP. From them, a scalar regional climatic index was obtained which identifies time landmarks and changes in the climate rhythm. The equations obtained with GP are simpler than those obtained with PC and they highlight the most important sites characterising the regional climate. Whereas the general consensus is that there has been a clear and smooth trend towards warming during the last decades, the results suggest that the picture may probably be much more complicated than what is usually assumed.",
• notes = "Also known as \cite{4633834} WCCI 2008 - A joint meeting of the IEEE, the INNS, the EPS and the IET.",

}

Genetic Programming entries for Julio J Valdes Antonio Pou Robert Orchard

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