PDF(2605 KB)
Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks
Zhang Junyan1、 Wei Lianwei1、 Han Weixiu1、 Shao Jingli2、 Cui Yali2、 Zhang Jianli2
Strategic Study of CAE ›› 2004, Vol. 6 ›› Issue (8) : 74-78.
PDF(2605 KB)
PDF(2605 KB)
Hydrogeological Parameter Identification Based on the Radial Basis Function Neural Networks
Zhang Junyan1、 Wei Lianwei1、 Han Weixiu1、 Shao Jingli2、 Cui Yali2、 Zhang Jianli2
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.
groundwater / hydrogeological parameter / radial basis function (RBF) neural networks / BP neural networks
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