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Categoria WoS
Titulo: Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks
Tipo: revista internacional
Fecha: 2007
Revista: Hydrological Processes
Citas ISI: 11 Citas Scopus: 12 Citas Google Scholar: 14
Volumen: Vol. 21
Paginas: 476-485
ISSN: 0885-6087
Editorial: Wiley InterScience
Sussex (England)


An application of genetic programming (GP) and artificial neural networks (ANNs) in hydrology is proposed, showing how these two techniques can work together to solve the problem of modelling the effect of rain on the runoff flow in a typical urban basin. The ability of GP to include the physical basis of a problem and even to analyse the results is discussed, and a case study is included as an example. We propose a solution to this problem by using an ANN for the prediction of the daily flow due to human activity of the citizens and the use of GP for the prediction of the flow rate resulting from the rain. Finally, it is shown that the methodology can be used to solve similar problems by combining both techniques.

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