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- W2385234701 abstract "Based on the analysis of wavelet neural network,the paper established a wavelet neural network model,and made its have better forecasting performance.By means of model,it made the nonlinear approximation using 300 pieces of Shenzhen composition index.The software Matlab was used to train the network,and then the trained network was adopted to perform the numerical simulation.The simulation results show that the network model of financial time series forecast is feasible." @default.
- W2385234701 created "2016-06-24" @default.
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- W2385234701 date "2011-01-01" @default.
- W2385234701 modified "2023-09-24" @default.
- W2385234701 title "Forecast of Shenzheng Composition Index based on Wavelet Neural Network Model" @default.
- W2385234701 hasPublicationYear "2011" @default.
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