摘要
时间序列预测法是一种根据动态数据揭示系统动态结构和规律的统计方法.本文给出了时间序列模型的模式识别和实现方法,建立了能够比较精确地反映时间序列中所包含的动态依存关系的数学模型,具有一定的自适应性,能更好地预测实际问题.
Time series forecast is a way to reveal the systemic dynamic structure and laws through the dynamic data, the model and method of the time series is given in this paper, which can reflect the dynamic dependence in the time series with the finite system＇s running records. It can better predict the actual problem with the adaptability.
出处
《科技信息》
2011年第15期J0192-J0193,共2页
Science & Technology Information
关键词
时间序列
模型识别
预测
Time series
Model recognition
Forecast
