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Author: Anatoli Nachev

Affiliation: National University of Ireland, Ireland

Keyword(s): Financial diagnosis, data mining, neural networks, ARTMAP-IC.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: 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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Paper citation in several formats:
Nachev, A. (2008). FORECASTING WITH ARTMAP-IC NEURAL NETWORKS - An Application Using Corporate Bankruptcy Data. In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS; ISBN 978-989-8111-37-1; ISSN 2184-4992, SciTePress, pages 167-172. DOI: 10.5220/0001680201670172

@conference{iceis08,
author={Anatoli Nachev.},
title={FORECASTING WITH ARTMAP-IC NEURAL NETWORKS - An Application Using Corporate Bankruptcy Data},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS},
year={2008},
pages={167-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001680201670172},
isbn={978-989-8111-37-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 6: ICEIS
TI - FORECASTING WITH ARTMAP-IC NEURAL NETWORKS - An Application Using Corporate Bankruptcy Data
SN - 978-989-8111-37-1
IS - 2184-4992
AU - Nachev, A.
PY - 2008
SP - 167
EP - 172
DO - 10.5220/0001680201670172
PB - SciTePress