Estimate US Restaurant Firm Failure: The Artificial Neural System Model Versus Logistic Regression Model

Authors

  • Ravindra Patel Department of Computer Science, Campbellsville University, University Dr, Campbellsville, KY, USA Author

DOI:

https://doi.org/10.55524/

Keywords:

ANNs, Business, System, Model, Restaurant

Abstract

In view of recent years' financial  information of US restaurant firms, this investigation  created disappointment forecast models utilizing strategic  relapse and artificial neural systems (ANNs). The  discoveries demonstrate that the calculated model isn't  inferior compared to the ANNs show as far as of forecast  exactness. For restaurant firms, the strategic model not just  gives bankruptcy prediction at a precision rate no inferior  compared to that given by the ANNs demonstrate yet, in  addition, shows how firms can act to lessen the opportunity  of going bankrupt. Thusly, for US restaurant firms the  strategic model is suggested as a favored technique for  predicting restaurant firm disappointments. 

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Published

2022-05-30

How to Cite

Estimate US Restaurant Firm Failure: The Artificial Neural System Model Versus Logistic Regression Model . (2022). International Journal of Innovative Research in Computer Science & Technology, 10(3), 1–5. https://doi.org/10.55524/