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Predicting Seepage of Earth Dams Using Neural Network and Genetic Algorithm
2011
Advanced Materials Research
Measurements of seepage are fundamental for earth dam surveillance. However, it is difficult to establish an effective and practical dam seepage prediction model due to the nonlinearity between seepage and its influencing factors. Genetic Algorithm for Levenberg-Marquardt(GA-LM), a new neural network(NN) model has been developed for predicting the seepage of an earth dam in China using 381 databases of field data (of which 366 in 2008 were used for training and 15 in 2009 for testing). Genetic
doi:10.4028/www.scientific.net/amr.403-408.3081
fatcat:lxzpvvjkpba2to76hc6y4hecla