摘要
股票市场在整个金融市场中起着很重要的作用。而股票价格反转点的预测是最具有吸引力并且有意义的研究问题之一。BP神经网络作为已被证明为具有实现任何复杂非线性映射的功能的多层预测模型特别适合于求解股票预测之类的内部机制复杂的问题。旨在利用BP神经网络模型的预测能力实现对股票价格的反转点预测。
The stock market has an important role in the whole financial market and the prediction of the stock price reversal point is one of the most abstractive and the most significant research topic. And the BP neural network which has been proved to be the ability of achieving any nonlinear mapping function whatever its complexity ,is very suitable for resolving the problem with a complex internal mechanism such as stock price prediction. Aims to achieve stock price reversal points prediction with BP model.
