如何对股票价格拐点进行预测是投资者所关注的内容。利用RBF神经网络对股票价格拐点进行预测,将反映股票价格的开盘价、收盘价、最高价、最低价作为神经网络的输入变量,利用RBF神经网络自适应算法对网络进行训练,建立起神经网络模型。结合分形几何学的分形知识,对股票拐点进行了分类。 How to predict the inflection point of stock price is the concern of investors. RBF neural network is used to predict the inflection point of the stock price, and the opening price, closing price, highest price and lowest price that reflect the stock price are used as the input variables of the neural network. The RBF neural network adaptive algorithm is used to train the network and the neural network model. Combined with the fractal geometry fractal knowledge, the stock inflection point has been classified.