evolution metaheuristic and an incremental search procedure on the non-linear parameters. Comparisons of the results are made in … terms of the achieved fit, consistency (for the metaheuristic) and the shapes obtained for the curves. The same procedure is …

evolution metaheuristic and an incremental search procedure on the non-linear parameters. Comparisons of the results are made in … terms of the achieved fit, consistency (for the metaheuristic) and the shapes obtained for the curves. The same procedure is …

This paper focuses on the development of both failure prediction models on a paired sample and a random sample of small … explain and predict failure in the two samples, where differences in the significant variables and the classification results … are observed, which confirms the influence of the sampling method on the business failure prediction results. …

the prediction of business failure. This methodology provides very good results in terms of predictive performance when … large sample sizes are available. Therefore, we have developed a business failure prediction model for European companies … the date of failure. Deep Learning achieves a predictive performance of 94%, where companies with larger size and lower …

the prediction of business failure. This methodology provides very good results in terms of predictive performance when … large sample sizes are available. Therefore, we have developed a business failure prediction model for European companies … the date of failure. Deep Learning achieves a predictive performance of 94%, where companies with larger size and lower …

This paper focuses on the development of both failure prediction models on a paired sample and a random sample of small … explain and predict failure in the two samples, where differences in the significant variables and the classification results … are observed, which confirms the influence of the sampling method on the business failure prediction results. …