基于SVM的信息粒化时序回归预测——上证指数开盘指数变化趋势和变化空间预测我要分享

SVM-based prediction of time series regression inf

matlab 回归 svm 基于 预测 信息 变化 时序 空间 趋势 指数 上证 开盘

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中文说明:对于上证指数进行了回归预测,但是往往有时候或者大多数时候无法对上证指数进行精确的预测,这时候如果能对上证指数开盘指数变化趋势和变化空间进行预测就显得更为重要,如果能知道上证指数开盘指数变化趋势和变化空间,这对于用户股民来说也是十分有帮助的,在这个案例里面我们将利用SVM对于进行模糊信息粒化后上证每日的开盘指数进行变化趋势和变化空间的预测,通过实际检验会看到这种方法是十分可行的并且结果很是可靠!从而可以看到将SVM与其他工具方法结合后SVM强有力的效果


English Description:

For regression forecasting the index, but all too often, sometimes or most of the time, are unable to accurately forecast the index, if the Shanghai composite index opened at this time index to predict trends and changes in the space is even more important, if we can know the Shanghai composite index opened index trends and changes in space, this user is also very helpful for investors, In this case we will use the SVM for fuzzy information granulation changes daily opening of Shanghai Stock Exchange index after the forecasting of trends and changes in space, through the actual examination will see this approach is quite feasible and the result is very reliable! so that you can see the SVM and SVM after the other tools combined with powerful effect


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