A hybrid neural network model based on improved PSO and SA for bankruptcy prediction
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References listed on IDEAS
- du Jardin, Philippe, 2010. "Predicting bankruptcy using neural networks and other classification methods: the influence of variable selection techniques on model accuracy," MPRA Paper 44375, University Library of Munich, Germany.
- Geng, Ruibin & Bose, Indranil & Chen, Xi, 2015. "Prediction of financial distress: An empirical study of listed Chinese companies using data mining," European Journal of Operational Research, Elsevier, vol. 241(1), pages 236-247.
- G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
- Korol, Tomasz, 2013. "Early warning models against bankruptcy risk for Central European and Latin American enterprises," Economic Modelling, Elsevier, vol. 31(C), pages 22-30.
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More about this item
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-BIG-2019-08-26 (Big Data)
- NEP-CMP-2019-08-26 (Computational Economics)
- NEP-FOR-2019-08-26 (Forecasting)
- NEP-ORE-2019-08-26 (Operations Research)
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