Applying a probabilistic neural network to hotel bankruptcy prediction

Using a probabilistic neural network and a set of financial and nonfinancial variables, this study seeks to improve the ability of the existing bankruptcy prediction models in the hotel industry. Our aim is to construct a hotel bankruptcy prediction model that provides high accuracy, using inform...

Descripció completa

Dades bibliogràfiques

Autors principals:	Manuel Ángel Fernández-Gámez, Ana José Cisneros-Ruiz, Ángela Callejón-Gil
Format:	Artigo
Idioma:	Inglês
Publicat:	University of Algarve, ESGHT/CINTURS 2016-01-01
Col·lecció:	Tourism & Management Studies
Matèries:	hotel bankruptcy prediction probabilistic neural networks bankruptcy variables sensitivity spanish hotel industry
Accés en línia:	https://tmstudies.net/index.php/ectms/article/view/785/pdf_3
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!