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- W2392263438 abstract "The authors have adopted genetic algometry(GA) and BP neural networks to build a new model for rock burst prediction.The weights and thresholds of BP neural networks were optimized using GA,then the neural networks were trained using BP algometry,so,solving the problem that traditional BP neural networks lie in absence about constringency rate slowly and easy to fall into local minimum.Then the authors selected some representative rock burst cases at home and abroad as training samples.After the multiple iteration of the sample data and when the specified error was achieve,the neural network training was stopped.The trained model was used to predict the rock bursts happened in some copper mine,and the predicted results were consistent with the actual level of the rock bursts." @default.
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- W2392263438 date "2011-01-01" @default.
- W2392263438 modified "2023-09-23" @default.
- W2392263438 title "Research on Rock Burst Prediction Based on BP Neural Network and GA" @default.
- W2392263438 hasPublicationYear "2011" @default.
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