摘要
在技术分析基础上，建立了神经网络的股票短期走势预测模型，对深圳和上海股票市场中的几种股票价格走势进行预测，取得了满意的结果。同时，还对神经网络的输入参数（开盘价、收盘价、最高价、最低价和成交量）的不同组合产生的预测结果进行了对比分析。
Based on a technical analysis,a stock price prediction model based on neural networks is established.This model is employed to predict sort term stock prices of some stocks in the Shanghai and Shenzhen stock markets,and fairly satisfactory results are obtained.The influences of input parameters,such as opening price,closing price,ceiling price,the lowest price,volume,etc.,on the performance of the neural networks are analyzed.
出处
《西南交通大学学报》
EI
CSCD
北大核心
1998年第3期299-304,共6页
Journal of Southwest Jiaotong University
关键词
神经网络
预测
技术分析
股票价格
neural network
predictions
technical analysis
stock price
