Conference Publication Details
Mandatory Fields
Nachev, A
ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS
FORECASTING WITH ARTMAP-IC NEURAL NETWORKS An Application Using Corporate Bankruptcy Data
2008
January
Published
1
WOS: 1 ()
Optional Fields
PREDICTION DIAGNOSIS
167
172
Financial diagnosis and prediction of corporate bankruptcy can be viewed as a pattern recognition problem. This paper proposes a novel approach to solution based on ARTMAP-IC - a general-purpose neural network system for supervised learning and recognition. For a popular dataset, with proper preprocessing steps, the model outperforms similar techniques and provides prediction accuracy equal to the best one obtained by a backpropagation MLPs. An advantage of the proposed model over the MLPs is the short online learning, fast adaptation to novel patterns and scalability.
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