Filling up gaps in wave data with genetic programming
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Arena G, Briganti G, Corsini S, Franco L. The italian wave measurement buoy network: 12 years management experience. In: Proceedings of the fourth international symposium waves 2001, San Francisco, CA, 2001. p. 86–95.
Puca S, Tirozzi B, Arena G, Corsini S, Inghilesi R. A neural network approach to the problem of recovering lost data in a network of marine buoys. In: Proceedings of International Society of Offshore and Polar Engineers, ISOPE-2001, vol. III, Norway, 2001. p. 615–20.
Mutreja, 1987
Bennis, 1997, Improving single variable and multi-variable techniques for estimating missing hydrological data, J Hydrol, 191, 87, 10.1016/S0022-1694(96)03076-4
Elshorbagy, 2002, Estimation of missing streamflow data using principles of chaos theory, J Hydrol, 255, 123, 10.1016/S0022-1694(01)00513-3
Khalil, 2001, Groups and neural networks based streamflow data in-filling procedures, J Hydrol, 241, 153, 10.1016/S0022-1694(00)00332-2
Thompson, 1971, Spectral estimation from irregularly spaced data, IEEE Trans Geosci Electron, GE-9, 107, 10.1109/TGE.1971.271476
Sturges, 1983, On interpolating gappy records for time series analysis, J Geophys Res, 88, 9736, 10.1029/JC088iC14p09736
Emery, 2004
Stefanakos, 2001, A unified methodology for the analysis, completion and simulation of nonstationary time series with missing values, with application to wave data, Appl Ocean Res, 23, 207, 10.1016/S0141-1187(01)00017-7
Balas, 2004, Predictions of missing wave data by recurrent neuronets, J Waterway Port Coastal Ocean Eng—ASCE, 130, 256, 10.1061/(ASCE)0733-950X(2004)130:5(256)
Makarynskyy, 2007, Wave prediction and data supplementation using artificial neural networks, J Coastal Res, 23, 146
Koza, 1992
Whigham PA, Crapper PF. Modeling rainfall-runoff using genetic programming. In: Mathematical and computer modeling, vol. 33, Canberra, Australia, 2001. p. 707–21.
Muttil N, Liong SY. Improving runoff forecasting by input variable selection in genetic programming. In: Proceedings of world water congress 2001, ASCE, Downloaded 04 August 2005 from 〈http://www.ascelibrary.org/〉.
Babovic, 2001, Neural networks as routine for error updating of numerical models, J Hydraulic Eng ASCE, 127, 181, 10.1061/(ASCE)0733-9429(2001)127:3(181)
Babovic, 2002, A data mining approach to modeling of water supply assets, Urban Water, 4, 401, 10.1016/S1462-0758(02)00034-1
Fonlupt, 2001, Solving the ocean color problem using a genetic programming approach, Appl Soft Comput, 1, 63, 10.1016/S1568-4946(01)00007-2
Hong, 2003, Evolutionary self-organizing modeling of a municipal wastewater treatment plant, Water Res, 37, 1199, 10.1016/S0043-1354(02)00493-1
Hong, 2002, Identification of an urban fractured-rock aquifer dynamics using an evolutionary self-organizing modeling, J Hydrol, 259, 89, 10.1016/S0022-1694(01)00587-X
Drunpob A, Chang NB, Beaman M. Stream flow rate prediction using genetic programming model in a semi-arid coastal watershed. In: Proceedings of EWRI 2005, ASCE.
Francone, 1998
Demuth, 1998