Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis

Author： Kim Soo  

Publisher： Routledge Ltd

ISSN： 0264-2069

Source： The Service Industries Journal, Vol.31, Iss.3, 2011-02, pp. : 441-468

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Predictive modelling of turning operations using response surface methodology, artificial neural networks and support vector regression

By Gupta Amit Kumar  

International Journal of Production Research, Vol. 48, Iss. 3, 2010-01 ,pp. : 763-778

Taylor & Francis Ltd

Access to resources Recommend Favorite

Cross-sectional stock return analysis using support vector regression

By Liu Jie   Hu Zaixia   Tan Shaohua  

Applied Economics Letters, Vol. 17, Iss. 1, 2010-01 ,pp. : 71-74

Routledge Ltd

Access to resources Recommend Favorite

Prediction of die casting process parameters by using an artificial neural network model for zinc alloys

By Yarlagadda P. K. D. V.  

International Journal of Production Research, Vol. 38, Iss. 1, 2000-01 ,pp. : 119-139

Taylor & Francis Ltd

Access to resources Recommend Favorite

Robust kernel distance multivariate control chart using support vector principles

By Camci F.  

International Journal of Production Research, Vol. 46, Iss. 18, 2008-09 ,pp. : 5075-5095

Taylor & Francis Ltd

Access to resources Recommend Favorite

A kernel-distance-based multivariate control chart using support vector methods

By Sun R.   Tsung F.  

International Journal of Production Research, Vol. 41, Iss. 13, 2003-09 ,pp. : 2975-2989

Taylor & Francis Ltd

Access to resources Recommend Favorite