Combining RBF Networks Trained by Different Clustering Techniques
Neural Processing Letters
Evolutionary Radial Basis Functions for Credit Assessment
Applied Intelligence
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The assessing of credit applications is usually carried out by loan officers based on their own heuristics. Thus, different officers may have different decisions for the same application. In order to avoid the problems due to this subjective evaluation, quantitative methods have been proposed, such as the use of Neural Networks. This paper, different approaches to define the parameters of RBF networks are applied in a credit evaluation task.