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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Artificial Neural Networks in Urban Runoff Forecast
verfasst von : Mónica Miguélez, Jerónimo Puertas, Juan Ramón Rabuñal
Erschienen in: Bio-Inspired Systems: Computational and Ambient Intelligence
Verlag: Springer Berlin Heidelberg
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One of the applications of Data Mining is the extraction of knowledge from time series [1][2]. The Artificial Neural Networks (ANNs), one of the techniques of Artificial Intelligence (AI), have proved to be suitable 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 phenomenon that models the process where, for a specific area, the fallen rain concentrates and flows on the surface.