基于增量支持向量回归机的股价预测模型研究

随着越来越多的人加入到股票投资中，有效的股票预测方法就显得尤为重要。本文利用增量支持向量回归机对上证指数的收盘价进行预测，并同神经网络方法进行比较分析、实证研究，可发现，基于增量支持向量回归机的股价预测模型表现较佳，为股价预测模型研究提供了一种新的方法，进而为投资者提供了一定的参考信息。

Stock Price Forecast Model based on Incremental Support Vector Regression

As more and more people joined into the stock investment,an effective stock forecast model became more important.In this paper,we proposed a stock price forecast model based on incremental support vector regression to forecast SSE Composite Index,and we also compared it with neural network model.Empirical research found that the stock price forecast model based on incremental support vector regression performed better,and was able to provide a new method for stock price forecasting.Thus,it offered investors with a certain reference informations.