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本文利用小波分析与神经网络构造的小波神经网络模型,对金融时间序列上证指数进行预测。将预测结果与实际值进行比较,结果表明,小波神经网络方法预测效果优于传统神经网络模型。
In this paper, the wavelet neural network model constructed by wavelet analysis and neural network is used to forecast the Shanghai Composite Index of financial time series. The result of prediction is compared with the actual value. The result shows that wavelet neural network method is better than traditional neural network model.