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Presented in this paper is a predicting model for time series forecasting of stock market index with the aid of bidirectional two-dimensional locality preserving projection and radial basis function neural network. First, 30 technical indicators in securities market are selected as the input features, and then adopts a sliding window to obtain the input data of the model. Next, by using two-dimensional...
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