Work

Bankruptcy Prediction Models: A Bet on Artificial Neural Networks

Year: 2012

Type: article

Abstract: This work is a comparative study of three qualifiers and predictive tech niques applied to the analysis of the solvency of enterprises, determining the factors influencing this phenomenon, and then applying the obtained model to the prediction. Two of them are technical statistics traditionally used, discriminant analysis (DA) and logit analysis (LA) and the third is a multilayer perceptron network (MLP), an AI technique. The work is performed with the SPSS 20 Neural Networks computer pro

Source: GLOBAL JOURNAL FOR RESEARCH ANALYSIS

DOI: 10.15373/22778160/february2014/16

Authors: Ana Isabel Velasco Fernández, Ricardo José Rejas Muslera, Juan Padilla Fernández-Vega, María Isabel Cepeda González

Language: English

Topic: Financial Distress and Bankruptcy Prediction

Subfield: Accounting

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W1982994803

FWCI:

Cites: 2

Cited by: 1

Related to: 10