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Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress

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Bibliographic Details
Published in:Croatian Review of Economic, Business and Social Statistics
Format: Online Article RSS Article
Published: 2023
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container_title Croatian Review of Economic, Business and Social Statistics
description
discipline_display Economic Systems, Theories and History
discipline_facet Economic Systems, Theories and History
format Online Article
RSS Article
genre Journal Article
id rss_article:75851
institution FRELIP
journal_source_facet Croatian Review of Economic, Business and Social Statistics
last_indexed 2026-06-20T21:38:21.553Z
publishDate 2023
publishDateSort 2023
record_format rss_article
spellingShingle Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
Economic Systems, Theories and History
General
Economic Systems, Theories and History
sub_discipline_display General
sub_discipline_facet General
subject_display Economic Systems, Theories and History
General
Economic Systems, Theories and History
subject_facet Economic Systems, Theories and History
General
Economic Systems, Theories and History
title Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
title_alt Revelando la diversa eficacia de las redes neuronales artificiales y la regresión logística: un análisis comparativo en la predicción de dificultades financieras
Dévoiler l'efficacité diverse des réseaux de neurones artificiels et de la régression logistique : une analyse comparative dans la prédiction des difficultés financières
Revelando a eficácia diversa de redes neurais artificiais e regressão logística: Uma análise comparativa na previsão de dificuldades financeiras
title_auth Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
title_es_txt Revelando la diversa eficacia de las redes neuronales artificiales y la regresión logística: un análisis comparativo en la predicción de dificultades financieras
title_fr_txt Dévoiler l'efficacité diverse des réseaux de neurones artificiels et de la régression logistique : une analyse comparative dans la prédiction des difficultés financières
title_full Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
title_fullStr Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
title_full_unstemmed Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
title_pt_txt Revelando a eficácia diversa de redes neurais artificiais e regressão logística: Uma análise comparativa na previsão de dificuldades financeiras
title_short Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress
title_sort unveiling the diverse efficacy of artificial neural networks and logistic regression: a comparative analysis in predicting financial distress
topic Economic Systems, Theories and History
General
Economic Systems, Theories and History
url https://sciendo.com/article/10.2478/crebss-2023-0002