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Artificial neural networks are known to have strong generalization abilities, but they entirely lack comprehensibility, due to their connectionist nature. Neural network ensembles augment this characteristic, making them less appealing in domains where comprehensibility is as important as accuracy. This paper presents the implementation of a new system(More)
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