Hydrogeological Parameters Identification Based on the Intelligent Methods (ID: 8-101)

摘要

The problem of hydro geological parameters identification is actually a complex nonlinear problem. With the limit of identifying the parameters by human beings, the intelligent optimization methods, genetic algorithms and artificial neural networks are applied into this area. In order to improve the precision and convergence of the two approaches, simulated annealing based-genetic algorithm (SAGA) is brought out, and Radial basis function (RBF) network is used to solve this problem. Not only the parameters identification are automatically realized, but also the ability of convergence is improved. The feasibility and effectiveness has been proved by the examples, and the advantages and disadvantages of two intelligent optimization methods are discussed.