改进的BP算法在股市预测中的应用

摘要

股票价格预测是证券界和学术界的一个重要的研究课题。神经网络具有强大的非线性逼近能力,文中采用MO-VLBP神经网络建立股票价格预测模型,对某银行的收盘价进行预测。实验结果证明,MO-VLBP网络模型应用于股票价格的短期预测,运算速度快、预测精度高。%Stock price prediction is an important research topic of the securities industry and academia.Neural network has a strong power of non-linear approximation.The author utilizes MO-VLBP neural network to build the prediction model for Beijing Bank＇s closing