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- W2359794872 abstract "In order to predict the beginning date of ice jam flood more accurately,the particle swarm optimization-neural network model is proposed by the combination of particle swarm optimization algorithm and BP neural network.The design of the model and flow of the algorithm realization is presented.The initial weights and thresholds of BP network are optimized by using particle swarm optimization algorithm,and taking the Sanhuhekou Station of Yellow River in the Inner Mongolia as example,the beginning date of ice jam flood is predicted by the proposed model.The results show that the BP neural network optimized by particle swarm algorithm has higher prediction precision than the genetic algorithm and BP neural network." @default.
- W2359794872 created "2016-06-24" @default.
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- W2359794872 date "2011-01-01" @default.
- W2359794872 modified "2023-10-04" @default.
- W2359794872 title "Prediction of beginning date of ice jam flood based on particle swarm optimization-neural network model" @default.
- W2359794872 hasPublicationYear "2011" @default.
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