BP神经网络在非线性时间序列预测中的应用

The Application of BP Neural Network in the Prediction of Non-Linear Time Sequence

利用神经网络的Kolmogorov连续性定理建立了时间序列对象的预测模型,并对基于本模型的数据 处理方法进行了探讨。通过对2002年深沪上市公司国有股数量的预测,证实了本模型的正确性和科学性。

Neural Networks are briefly disussed,and a model of time sequence object is set up according to Kolmogorov continuity theorem. The method of data processing on the basis of this model is then explored. The correctness of this model is confirmed through forecasting the quantities of national stock.