混沌时间序列预测算法的优度评价  

Priority Degree Evaluation of Chaotic Time Series Prediction Algorithm

作　　者：王 盖明久[2] 张金春[2] 

机构地区：[1]海军航空工程学院研究生管理大队,山东烟台264001 [2]海军航空工程学院基础部,山东烟台264001

出　　处：《海军航空工程学院学报》2014年第5期497-500,共4页Journal of Naval Aeronautical and Astronautical University

摘　　要：将优度评价方法运用于混沌时间序列预测算法评价中,确定评价算法的指标体系。建立混沌时间序列预测算法关于各评价指标的关联函数来刻画各评价对象的优秀程度并计算关联度。计算出各评价对象的优度值,将其用于对各算法的综合优度的比较。实例证明,该方法直观、实用,可为混沌时间序列预测算法评价提供定量的依据。The method of priority-degree evaluation was used in the evaluation of chaotic time series prediction algorithmto determine the evaluation index system. The correlation functions on evaluation indexes were built to describe the excel-lent degrees of evaluation objects in the chaotic time series prediction algorithm, and compute correlation degree. The pri-ority of each object was computed to compare the comprehensive excellence of each algorithm. An example was given toprove that the method was intuitive and practical, and could supply the quantificational basis for the evaluation of chaotictime series prediction algorithms.

关 键 词：优度评价方法 混沌时间序列预测 关联函数 

分 类 号：O415.5[理学—理论物理]