摘要
支持向量机(support vector machine SVM)作为一种可训练的机器学习方法,目前已广泛应用于股票预测中。文章利用matlab和支持向量机,结合股票前一段时间的走势数据,做出数据回归拟合,得到训练模型,然后根据训练模型对未来的股票指数做出预测,对预测数据和原始数据做一些误差分析。
Support vector machine （support vector machine SVM） has been widely used as a training machine learning methods, stock prediction. Using Matlab and support vector machine, combined with the trend data of stock some time ago, to make the data regression, to be trained model, and then the trained model to predict future stock index forecast data and raw data to do some error analysis.
出处
《信息通信》
2015年第8期15-16,共2页
Information & Communications
