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探讨神经网络理论的辨识特性 ,基于先验信息对股票市场建立非线性动态模型 ,用以预报市场短期走向。通过实证分析表明 ,采用神经网络所建立的股票市场模型能反映一段时间内市场平稳运行规律 ,对次日的市场行情变化预报的准确率较高 ,对市场短期预报有一定的参考价值。
The recognition characteristics of neural network theory are discussed. Based on the prior information, a nonlinear dynamic model of the stock market is established to predict the market short-term trend. Empirical analysis shows that the stock market model established by neural network can reflect the smooth operation of the market for a period of time and has a high accuracy rate of predicting the market changes of the next day and has some reference value for the market short-term forecast.