Forecasting bankruptcy using biclustering and neural network-based ensembles
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
http://link.springer.com/content/pdf/10.1007/s10479-019-03283-2.pdf
Reference70 articles.
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3. Alam, P., Booth, D., Lee, K., & Thordarson, T. (2000). The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: An experimental study. Expert Systems with Applications, 18, 185–199.
4. Alfaro, E., Gamez, M., & Garcia, N. (2007). A boosting approach for corporate failure prediction. Applied Intelligence, 27, 29–37.
5. Alfaro, E., Garcia, N., Gamez, M., & Elizondo, D. (2008). Bankruptcy forecasting: An empirical comparison of Ada Boost and neural networks. Decision Support Systems, 45, 110–122.
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