Abstract
In this paper we articulate the idea of utilizing Artificial Immune System (AIS) for the prediction of bankruptcy of companies. Our proposed AIS model considers the financial ratios as input parameters. The novelty of our algorithms is their hybrid nature, where we use modified Negative Selection, Positive Selection and the Clonal Selection Algorithms adopted from Human Immune System. Finally we compare our proposed models with a few existing statistical and mathematical sickness prediction methods.
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Singh, R., Sengupta, R.N. (2007). Bankruptcy Prediction Using Artificial Immune Systems. In: de Castro, L.N., Von Zuben, F.J., Knidel, H. (eds) Artificial Immune Systems. ICARIS 2007. Lecture Notes in Computer Science, vol 4628. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73922-7_12
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DOI: https://doi.org/10.1007/978-3-540-73922-7_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73921-0
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