Article ID Journal Published Year Pages File Type
10323169 Expert Systems with Applications 2005 12 Pages PDF
Abstract
This paper looks at the ability of a relatively new technique, hybrid ANN's, to predict country risk rating. These models are compared with traditional statistical techniques and conventional ANN models. The performance of hierarchical cluster analysis and another type of ANN, the self-organizing map were also investigated, as possible methods for making country risk analysis with visual effects. The results indicate that hybrid neural networks outperform all other models. This suggests that for researchers, policymakers and others interested in early warning systems, hybrid network may be a useful tool for country risk analysis.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
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