| 基于RBF神经网络的地下水动态模拟与预测 |
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| 关键词:underground water simulation and prediction of dynamics BP network RBF network |
| 基金项目:国家自然科学基金专项基金项目(40242018) |
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| 摘要: |
| Simulation and Prediction of Underground Water Dynamics based on RBF Neural Network |
| This papae introduces the principles of RBF network and the training methods, points out that: RBF network has advantageous properties such as independence of the output on initial weight value and adaptation for determining the construction. Using the “matlab” as the platform,we apply the network for simulation and prediction of underground water dynamics of one place. And reach a good achievement in studying completly a whole process in the construction of training samples assemble and checking samples assemble,pretreatment of original data, establishment, training, inspection and result-evaluation of the neural network. At the same time, drawbacks on BP net such as artificiality for determining the construction, inferiority to RBF net on accuracy and speed of training and random of initial weight value to the outcome are all manifested after comparing RBF net and BP net. In conclusion, RBF network is a neural network model on simulation and prediction of underground water dynamics which is deserved to be popula rized. |
| LUO Ding-gui,GUO Qing,WANG Xue-jun.2003.Simulation and Prediction of Underground Water Dynamics based on RBF Neural Network[J].Acta Geoscientica Sinica,24(5):475-478. |
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