Cargando…
Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm
The prediction of imminent bankruptcy for a company is important to banks, government agencies, business owners, and different business stakeholders. Bankruptcy is influenced by many global and local aspects, so it can hardly be anticipated without deeper analysis and economic modeling knowledge. To...
Autores principales: | Kanász, Róbert, Gnip, Peter, Zoričák, Martin, Drotár, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280414/ https://www.ncbi.nlm.nih.gov/pubmed/37346671 http://dx.doi.org/10.7717/peerj-cs.1257 |
Ejemplares similares
-
Small- and medium-enterprises bankruptcy dataset
por: Drotár, Peter, et al.
Publicado: (2019) -
Predicting bankruptcy of firms using earnings call data and transfer learning
por: Siddiqui, Hafeez Ur Rehman, et al.
Publicado: (2023) -
Conditional autoencoder pre-training and optimization algorithms for personalized care of hemophiliac patients
por: Buche, Cédric, et al.
Publicado: (2023) -
COVID-19 mortality prediction using ensemble learning and grey wolf optimization
por: Lou, Lihua, et al.
Publicado: (2023) -
Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems
por: Abbas, Qaiser, et al.
Publicado: (2023)