Predicting the subscribers of fixed-line and cellular phone in Japan by a novel prediction model

Guo-Dong Li, Shiro Masuda and Masatake Nagai

Technological Forecasting and Social Change, 2014, vol. 81, issue C, 321-330

Abstract: In this paper, a novel grey prediction model is proposed to enhance the performance of prediction for the amount of fixed-line and cellular phone subscribers in Japan. The cubic spline function is first integrated into grey prediction model to enhance its prediction capability. Then the particle swarm optimization (PSO) algorithm is applied, so that the prediction performance can be improved further. The prediction results using proposed models are very satisfactory.

Keywords: Telecommunications industry prediction; Grey prediction model; Cubic spline function; Particle swarm optimization algorithm (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162513001017
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:81:y:2014:i:c:p:321-330

DOI: 10.1016/j.techfore.2013.05.004

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().