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...

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Bibliographic Details
Main Authors: Manuel Ángel Fernández-Gámez, Ana José Cisneros-Ruiz, Ángela Callejón-Gil
Format: Article
Language:English
Published: University of Algarve, ESGHT/CINTURS 2016-01-01
Series:Tourism & Management Studies
Subjects:
Online Access:https://tmstudies.net/index.php/ectms/article/view/785/pdf_3
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