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Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications.

, , and . International Journal of Computational Intelligence and Applications, 14 (4): 1550021:1-1550021:20 (2015)

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MofN rule extraction from neural networks trained with augmented discretized input., , and . IJCNN, page 1079-1086. IEEE, (2014)A rule extraction study on a neural network trained by deep learning., and . IJCNN, page 668-675. IEEE, (2016)Neural network training and rule extraction with augmented discretized input., , and . Neurocomputing, (2016)Greedy rule generation from discrete data and its use in neural network rule extraction., , , and . Neural Networks, 21 (7): 1020-1028 (2008)Neural eliminators and classifiers., , and . CoRR, (2019)Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise., and . ICAISC (1), volume 7267 of Lecture Notes in Computer Science, page 160-168. Springer, (2012)Neural nets can be universal approximators for fuzzy functions., and . ICNN, page 2347-2350. IEEE, (1997)Implementation of fuzzy max-min neural controller., and . ICNN, page 3113-3117. IEEE, (1995)Comparative Study of Accuracies on the Family of the Recursive-Rule Extraction Algorithm., , , and . ICANN, volume 8681 of Lecture Notes in Computer Science, page 491-498. Springer, (2014)A Rule Extraction Study from SVM on Sentiment Analysis., and . Big Data Cogn. Comput., 2 (1): 6 (2018)