人工神经元BP网络在股市预测方面的应用

Stock Market Prediction with BP Networks

介绍了人工神经元网络在经济领域的应用 ,主要探讨BerndFreisleben的研究方法 ,即利用神经BP网络对股票市场股价走势进行预测的方法 ,重点对利用各种不同网络结构和网络参数所得预测结果进行分析。

In this paper the performance of back propagation neural networks applied to the problem of predicting stock market prices is evaluated. In contrast to previous investigations, the training data used in our experiments is not exclusively based on stock market prices, but also incorporates a variety of other economical factors. By the analysis of different network architectures, the best prediction is chosen.