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- W2351202125 abstract "Time series are not always autocorrelation.The CET-4 time series accumulative total passing rates of this paper is distinct from .The autoregressive model and the quadric polynomial model are refused by simulated computing.The improved BP neural network model can apply in all one-dimension time series.The two steps method of prediction is employed.Unlike other paper,this paper not only gives the prediction time series value of the next year,but also gives the whole predict model,and gives the 3-dimensional figure.It provided a visual and reasonable reference for the policies' setting down of the management of the educational administration." @default.
- W2351202125 created "2016-06-24" @default.
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- W2351202125 date "2009-01-01" @default.
- W2351202125 modified "2023-09-24" @default.
- W2351202125 title "The Application of Improved BP Neural Network in the Prediction of the Accumulative Total Passing Rates of CET-4 Time Series" @default.
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