说明：  BP神经网络股票建模,随着股票市场混沌和分形理论的逐步确立，人们开始利用神经网络对证券市场的变动加以预测。本文的研究目的在于为股市提供一种基于BP神经网络的股价预测方法，以便提高股价预测时的运算速度和精确度，为股票市场的个人投资者和机构投资者提供新的实用方法。
(BP neural network modeling of stock, with the stock market chaos and fractal theory established step by step, people began to make use of neural networks to forecast changes in the securities market. This study aimed at the stock market to provide a neural network based on BP s share price forecasting methods, in order to improve the stock price forecasts computational speed and accuracy for the stock market by individual investors and institutional investors to provide a new practical method.)