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Titulo: Artificical Neural networks in Urban Runoff Forecast
Tipo: congreso internacional
Congreso: International Work-Conference on Artificial Neural Networks (IWANN 2009)
Fecha: 10-12/6/2009
Lugar celebracion: Salamanca (Spain)
Paginas: 1192-1199
ISSN: 0302-9743
ISBN: 978-3-642-02477-1
Libro: Bio-Inspired Systems: Computational and Ambient Intelligent
Editorial: Springer

Abstract:

One of applications of Data Mining is tehe extraction of knowledge from time seies [1] [2]. The Artificial Networks (ANNs), one of the techniques of Artificial Intelligence (AI), have proved to be suitalbe in Data Mining for handling this type of series. This paper presents the use of ANNs and Genetic Algorithms (GA)with a time series in the field of Civil Engineering where the predictive structure does not follow the classic paradigms. In this specific case, the AI technique is applied to a phenomeno that models the process where, for a specific area, the fallen rain concentrates and flows on the surface

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