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A novel method for financial distress prediction based on sparse neural networks with [Formula: see text] regularization
Corporate financial distress is related to the interests of the enterprise and stakeholders. Therefore, its accurate prediction is of great significance to avoid huge losses from them. Despite significant effort and progress in this field, the existing prediction methods are either limited by the nu...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044388/ https://www.ncbi.nlm.nih.gov/pubmed/35492262 http://dx.doi.org/10.1007/s13042-022-01566-y |