摘要
数列预测一直是评价决策中最常见而又难于把握的问题之一。本文在总结现有预测方法的基础上,结合前兆预报思想和灰色预测理论,依据数据求同原则,提出了运用二次灰关联分析,建立组合模型的预测方法。该方法易于计算机实现,并已实际应用于油气储量预测研究中。
Data series forecasting is one of the most common problems which are difficult to grasp in evaluation and decision. Based on the present forecasting methods, the foreshadowing and forecasting thoughts and grey forecasting theory, as well as the principle of same class identification, this paper presents a method to establish the combination forecasting model by the twice grey correlation analysis. This method is easy to realize on a computer and has been applied to the research of forecasting the oil and gas reserve in practice.
出处
《物探化探计算技术》
CAS
CSCD
1997年第4期357-360,373,共5页
Computing Techniques For Geophysical and Geochemical Exploration
关键词
灰关联分析
灰关联度
数列预测法
油气藏
储量
grey correlation analysis, grey correlation degree, extrapolation, same class identification