A New Measure of Forecast Accuracyad

被引:3
作者
Chen, Haijun [1 ]
Wu, Lifeng [2 ]
机构
[1] Handan Coll, Dept Math, Handan, Peoples R China
[2] Ling Sch Dist Handan County, Handan, Peoples R China
来源
2010 2ND IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND FINANCIAL ENGINEERING (ICIFE) | 2010年
关键词
Modified MAPE; Forecasting; MAPE; NEURAL-NETWORKS;
D O I
10.1109/ICIFE.2010.5609455
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a new measure of forecast accuracy: a modified mean absolute percentage error (MAPE). As a means of establishing the goodness of fit, we set different objective functions, by implementation of a global optimization algorithm, the results of setting the objective function as modified MAPE are compared with the results of setting the objective function as MAPE, comparisons demonstrate that modified MAPE comes with lower prediction error.
引用
收藏
页码:710 / 712
页数:3
相关论文
共 16 条
[1]   ERROR MEASURES FOR GENERALIZING ABOUT FORECASTING METHODS - EMPIRICAL COMPARISONS [J].
ARMSTRONG, JS ;
COLLOPY, F .
INTERNATIONAL JOURNAL OF FORECASTING, 1992, 8 (01) :69-80
[2]   Integration of artificial neural networks and genetic algorithm to predict electrical energy consumption [J].
Azadeh, A. ;
Ghaderi, S. F. ;
Tarverdian, S. ;
Saberi, M. .
APPLIED MATHEMATICS AND COMPUTATION, 2007, 186 (02) :1731-1741
[3]  
Bowerman B.L, 2001, FORECASTING TIME SER
[4]   A new approach to modelling sigmoidal curves [J].
Carrillo, M ;
Gonzalez, JM .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2002, 69 (03) :233-241
[5]  
Eriolu E., 2008, APPL MATH COMPUT, V195, P591
[7]   On the asymmetry of the symmetric MAPE [J].
Goodwin, P ;
Lawton, R .
INTERNATIONAL JOURNAL OF FORECASTING, 1999, 15 (04) :405-408
[8]  
Hanke J. E, 1995, BUSINESS FORECASTING, P120
[9]   Another look at measures of forecast accuracy [J].
Hyndman, Rob J. ;
Koehler, Anne B. .
INTERNATIONAL JOURNAL OF FORECASTING, 2006, 22 (04) :679-688
[10]   The M3-Competition: results, conclusions and implications [J].
Makridakis, S ;
Hibon, M .
INTERNATIONAL JOURNAL OF FORECASTING, 2000, 16 (04) :451-476