Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks Export

@article{citeulike:2547375, abstract = {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. Copyright {\copyright} 2006 John Wiley \& Sons, Ltd.}, address = {University of A Coru\~{n}a, Department of Information and Communications Technologies \& Centre of Technological Innovations in Construction and Civil Engineering (CITEEC), Campus Elvi\~{n}a S/N, 15071 A Coru\~{n}a, Spain; University of A Coru\~{n}a, Department of Hydraulics Engineering, ETSICCP, Campus Elvi\~{n}a S/N, 15071 A Coru\~{n}a, Spain; University of A Coru\~{n}a, Department of Environmental Engineering, ETSICCP, Campus Elvi\~{n}a S/N, 15071 A Coru\~{n}a, Spain; University of A Coru\~{n}a, Department of Information and Communications Technologies, Fac. Informatica, Campus Elvi\~{n}a S/N, 15071 A Coru\~{n}a, Spain}, author = {Rabu\~{n}al, J. R. and Puertas, J. and Su\'{a}rez, J. and Rivero, D.}, citeulike-article-id = {2547375}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/hyp.6250}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/112776604/ABSTRACT}, doi = {10.1002/hyp.6250}, journal = {Hydrological Processes}, keywords = {ann, genetic-programming, hydroinformatics}, number = {4}, pages = {476--485}, posted-at = {2008-03-17 17:53:29}, priority = {2}, title = {Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks}, url = {http://dx.doi.org/10.1002/hyp.6250}, volume = {21}, year = {2007} }

TY - JOUR ID - citeulike:2547375 L3 - citeulike-article-id:2547375 N2 - 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. Copyright © 2006 John Wiley & Sons, Ltd. IS - 4 JF - Hydrological Processes AD - University of A Coruña, Department of Information and Communications Technologies & Centre of Technological Innovations in Construction and Civil Engineering (CITEEC), Campus Elviña S/N, 15071 A Coruña, Spain; University of A Coruña, Department of Hydraulics Engineering, ETSICCP, Campus Elviña S/N, 15071 A Coruña, Spain; University of A Coruña, Department of Environmental Engineering, ETSICCP, Campus Elviña S/N, 15071 A Coruña, Spain; University of A Coruña, Department of Information and Communications Technologies, Fac. Informatica, Campus Elviña S/N, 15071 A Coruña, Spain EP - 485 TI - Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks VL - 21 SP - 476 KW - ann KW - genetic-programming KW - hydroinformatics AU - Rabuñal, JR AU - Puertas, J AU - Suárez, J AU - Rivero, D PY - 2007/// UR - http://dx.doi.org/10.1002/hyp.6250 ER -