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- W2391479462 abstract "It was research that prediction of traffic flow chaotic time series based on VNNTF neural network.First,the traffic flow time series chaotic feature is extracted by chaos theory.Pretreatment for traffic flow time series,and the VN-NTP neural networks model was build by this.Second,Principles of neural network learning algorithm VNNTF is de-scribed.Based on chaotic learning algorithm,and designed neural network traffic Volterra learning algorithm for fast learning algorithm.Last,a single-step prediction of traffic flow chaotic time series is researched by VNNTF network model,Volterra prediction filter and the BP neural network based on chaotic algorithm.The results showed that the VN-NTF network model predictive performance is better than the Volterra prediction filter and the BP neural network by the simulation results and root-mean-square value." @default.
- W2391479462 created "2016-06-24" @default.
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- W2391479462 date "2010-01-01" @default.
- W2391479462 modified "2023-09-25" @default.
- W2391479462 title "Research on VNN Neural Network Traffic Flow Model and Prediction" @default.
- W2391479462 hasPublicationYear "2010" @default.
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