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Categoria WoS
Titulo: Special Time Series Prediction: Creep of Concrete.
Tipo: congreso nacional
Congreso: International Work-Conference on Artificial Neural Networks (IWANN 2009)
Fecha: 10-12/6/2009
Lugar celebracion: Salamanca (Spain)
Paginas: 1184-1191
ISSN: 0302-9743
ISBN: 978-3-642-02477-1
Libro: Bio-Inspired Systems: Computational and Ambient Intelligence
Editorial: Springer


This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm, based on Genetic Programming, enables the dynamic introduction of non terminal operators shaped as mathematical expressions (operator-expression) that works as an unique node for the purpose of genetic operations (crossover and mutation). A new characteristic of this algorithm is the possibility of expansion the individuals, which, besides inducing a better global fitness, enables breaking up the expressions (operator-expression) into basic operators in order to achieve expression recombination. The performance of the implemented algorithm was showed by means of its application to the creep of structural concrete, a specific case of Construction Engineering where a best adjustment to the current regulative codes was subsequently achieved

    .: SABIA :.  Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial