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- W2380122868 abstract "Initialized weights and thresholds of the BP neural network are random,which results in slow convergence and easily converging to local optima.According to these characteristics,Particle Swarm Optimization(PSO),which has a strong global searching ability,was utilized to optimize the weights and thresholds of the BP neural network in the paper.The model of dam displacement prediction based on PSO-BP neutral network was established and the transverse displacement monitoring data of Fengman Dam was used for evaluating the model.The experimental results showed that the PSO-BP neutral network model was faster in training and more accurate in prediction than the classic BP neural network mode." @default.
- W2380122868 created "2016-06-24" @default.
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- W2380122868 date "2012-01-01" @default.
- W2380122868 modified "2023-09-25" @default.
- W2380122868 title "Application of particle swarm optimization-BP neutral network in dam displacement prediction" @default.
- W2380122868 hasPublicationYear "2012" @default.
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