基于时间序列趋势外推改进模型的SISE预测Prediction of SISE based on improved time series trend extrapolation model
郭英,党亚民,卢秀山
摘要(Abstract)：
基于SISE的分布特性和时间序列趋势外推理论,选择了三次多项式时间序列趋势外推模型预测SISE,结果表明该模型可行。为进一步提高预测精度,引入均值平衡因子,改进三次多项式时间序列趋势外推模型,试验证实该算法能有效提高SISE的预测精度。
关键词(KeyWords)： SISE;时间序列;趋势外推;均值平衡因子
基金项目(Foundation): 国家自然科学基金项目(40504003)
作者(Author): 郭英,党亚民,卢秀山
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