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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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| Published in: | Croatian Review of Economic, Business and Social Statistics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2023
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| Subjects: | |
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| _version_ | 1864030188186107904 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Croatian Review of Economic, Business and Social Statistics |
| description | |
| discipline_display | Social Sciences |
| discipline_facet | Social Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:41883 |
| institution | FRELIP |
| journal_source_facet | Croatian Review of Economic, Business and Social Statistics |
| 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 Economics Social Sciences |
| sub_discipline_display | Economics |
| sub_discipline_facet | Economics |
| subject_display | Economic Systems, Theories and History Economics Social Sciences Economic Systems, Theories and History Economics Social Sciences |
| subject_facet | Economic Systems, Theories and History Economics Social Sciences |
| title | Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress |
| title_auth | Unveiling the diverse efficacy of artificial neural networks and logistic regression: A comparative analysis in predicting financial distress |
| 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_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 Economics Social Sciences |
| url | https://sciendo.com/article/10.2478/crebss-2023-0002 |