The Investment Risk Early-Warning System Research on Hotel and Tourism Enterprises

Jun Hai Ma; Qi Zhang

doi:10.4028/www.scientific.net/AMR.219-220.582

Paper Titles

Synthesis, Spectral Properties of Methyl-2-Pyridyl Ketone Benzoyl Hydrazone and its Complexes with Rare Earth Nitrates
p.565

Strong Tracking Filter Based on Extended Kalman Filter for Data Processing of Underwater Vehicle
p.569

Synthesis, Fluorescence Properties of 2-Acetyl-2'-Chloroacetanilide with Rare Earth Nitrates Complexes
p.574

Research on Complex Mechanism of Oligarchy Pricing Based on Price Repeated Game Model
p.578

The Investment Risk Early-Warning System Research on Hotel and Tourism Enterprises
p.582

Analysis of Power System’s Critical Damping
p.586

Blower Resource Scheduling Based on Elite Genetic Algorithm
p.591

Automatic Demultiplexing Method for NRZ-OOK and RZ-OOK Polarization-Division Multiplexed System
p.596

Study of SCR Denitration Efficiency under Different Boiler Load Conditions
p.600

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220The Investment Risk Early-Warning System Research...

The Investment Risk Early-Warning System Research on Hotel and Tourism Enterprises

Abstract:

This article selects the data of 28 hotel and tourism enterprises on A-shares in china. The investment risk early-warning system construction is based on the information entropy method and the BP neural network. The results show that most of Chinese hotel and tourism enterprises have a high level of investment risk due to the effects of financial crisis and operation, and all of them need to enhance prevention measures.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

582-585

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.582

Citation:

Cite this paper

Online since:

March 2011

Authors:

Jun Hai Ma, Qi Zhang

Keywords:

BP Neural Network (BPNN), Early Warning System, Information Entropy, Investment Risk

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jin Chengxiao, Yu Tingting. Research on Monitoring and Early Warning of Our Manufacturing Industrial Security Based on BP Neural Network. Journal of Beijing University of Technology(Social Sciences Edition)，1(2010)，p.8～16.

Google Scholar

[2] Yang Shue, Huang li. Financial Crisis Warning Model based on BP Neural Network. Systems Engineering-theory & Practice，1(2005)，p.12～18，p.26.

Google Scholar

[3] Liu Yanwen, Dai Hongjun. Empirical study of the financial risk prediction based on the rough set and ANN mode. Science Research Management，6(2007)，p.138～p.142.

Google Scholar

[4] Shi Qingzhong. The Research of A Mixed Two-Phase Scoring Model of Personal Credibility Based on Neural Network-Logistic Regression. Statistical Research，5(2005)，p.45～49.

Google Scholar

[5] Wang Kai, Huang Shixiang. Credit Assessment Model and Application for Middle and Small Business Among Industries using BP Neural Network. Mathematics in Practice and Theory，24(2007)，p.47～54.

Google Scholar