Dynamic Simulation for Hotel Service Industry Based on Continued Fraction

Author

Zhengpeng, Wu ; Dayuan, Wang

Author_Institution

Dept. of Appl. Math., Commun. Univ. of China, Beijing, China

fYear

2010

fDate

7-9 May 2010

Firstpage

2033

Lastpage

2036

Abstract

This paper links dynamic simulation of hotel service industry to continued fraction interpolation theory and genetic algorithm, and derives a dynamic prediction modeling method of structural equation model, which can predict the future causality between system elements with no need of future sample data. All the simulation data of this paper is based on the actual one from Beijing hotel industry. The simulation results reveal that our algorithm has high fitting accuracy and authentic prediction model, and can be used for analysis and prediction of structural equation modeling.

Keywords

genetic algorithms; hotel industry; interpolation; statistical analysis; Beijing hotel industry; authentic prediction model; continued fraction interpolation theory; dynamic prediction modeling method; dynamic simulation; genetic algorithm; hotel service industry; structural equation model; Covariance matrix; Data models; Equations; Heuristic algorithms; Interpolation; Mathematical model; Predictive models; continued fraction interpolation; genetic algorithm; structural equation mode;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Business and E-Government (ICEE), 2010 International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-0-7695-3997-3

Type

conf

DOI

10.1109/ICEE.2010.514

Filename

5592627