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| Application of PSO-Elman Neural Network in Displacement Prediction of Tailings Dam |
| Received:May 15, 2018 Revised:June 03, 2018 |
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| DOI： |
| KeyWord:PSO-Elman neural network, Displacement prediction, Safety monitoring |
| Author | Institution |
| WANG Xinyan |
北京矿冶科技集团有限公司 |
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| Abstract: |
| For the reasons that the BP neural network model is prone to be both local minima and time consuming, and that Elman neural network model has the shortage of slow research speed and local optimum, PSO-Elman neural network model is used in this paper to predict tailings dam displacement. we use Matlab neural network toolbox to program three models of PSO-Elman neural network, Elman neural network and BP neural network. Then combine models with engineering examples, finally PSO-Elman neural network model is proved to have more advantages in predicting and analyzing the displacement monitoring data of tailings dam. |
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