Predicting Success Of Bank Direct Marketing By Neuro-Fuzzy Systems

The paper concerns bank marketing selling campaign result prediction by neuro-fuzzy systems. We trained the system by the back-propagation algorithm using forty five thousand of past records. We obtained comparable prediction results with the best ones from the literature. The advantage of the proposed approach is the use of fuzzy rules, which are interpretable for humans.