DocumentCode :
2676772
Title :
Improved prediction model of modified exponential curve
Author :
Lu, Yuzhen ; Li, Qing ; Guo, Yuman
Author_Institution :
Dept. of Math., Dalian Maritime Univ., Dalian, China
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
513
Lastpage :
516
Abstract :
Exponential curve prediction model is one of the most common prediction models[1]. This paper is mainly introduce improved model which add one-time items based on modified exponential curve prediction model. In this article, we not only proved the characteristics of the historical data which consistent with this model in theory but also describes how to solve the unknown parameters according to the given time series. Improved model overcomes the shortcomings of modified exponential curve prediction model which is only a monotonic function model. So the improved model has more extensive application value. Then, we promoted the conclusions at last.
Keywords :
time series; modified exponential curve prediction model; monotonic function model; one-time items; time series; Data models; Educational institutions; Market research; Mathematical model; Polynomials; Predictive models; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
Type :
conf
DOI :
10.1109/ICICIP.2012.6391473
Filename :
6391473
Link To Document :
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