2004, Volume 6, Issue 8
Strategic Study of CAE >> 2004, Volume 6, Issue 8
Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks
1. School of Management, Tianjin Univerisity, Tianjin 300072, China
2. School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China
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Abstract
The problem of hydrogeological parameter identification is actually a complex one. With the limit of identifying the parameter by traditional methods, the radial basis function neural networks (RBF) is applied into this area. Not only the parameter identification is automatically realized, but also th.e problem of local optimization is solved. The feasibility and effectiveness have been proved by the examples.
Keywords
groundwater ; hydrogeological parameter ; radial basis function (RBF) neural networks ; BP neural networks
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