Learning with imbalanced datasets using fuzzy ARTMAP-based neural network models

One of the main difficulties in real-world data classification and analysis tasks is that the data distribution can be imbalanced. In this paper, a variant of the supervised learning neural network from the Adaptive Resonance Theory (ART) family, i.e., Fuzzy ARTMAP (FAM) which is equipped with a con...

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Bibliographic Details
Main Authors: Tan, S. C., Watada, J., Ibrahim, Z., Khalid, Marzuki, Jau, L. W., Chew, L. C.
Format: Book Section
Published: IEEE 2011
Subjects: