Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples

Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez. Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. In Emilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings. Volume 4224 of Lecture Notes in Computer Science, pages 464-471, Springer, 2006. [doi]

Abstract

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