GFAM: Evolving Fuzzy ARTMAP neural networks

Author:

Al-Daraiseh Ahmad,Kaylani Assem,Georgiopoulos Michael,Mollaghasemi Mansooreh,Wu Annie S.,Anagnostopoulos Georgios

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference45 articles.

1. Anagnostopoulos, G. C. (2001). Novel approaches in adaptive resonance theory for machine learning. Doctoral Thesis. Orlando, FL: University of Central Florida

2. Anagnostopoulos, G. C., Bharadwaj, M., Georgiopoulos, M., Verzi, S. J., & Heileman, G. L. (2003). Exemplar-based pattern recognition via semi-supervised learning. In Proc. of the international joint conference on neural networks (pp. 2782–2787): Vol. 4

3. Anagnostopoulos, G. C., & Georgiopoulos, M. (2001). Ellipsoid ART and ARTMAP for incremental clustering and classification. In Proceedings of the IEEE-INNS international joint conference on neural networks (pp. 1221–1226)

4. Category regions as new geometrical concepts in Fuzzy ART and Fuzzy ARTMAP;Anagnostopoulos;Neuarl Networks,2002

5. Anagnostopoulos, G. C., Georgiopoulos, M., Verzi, S. J., & Heileman, G. L. (2002). Reducing generalization error and category proliferation in ellipsoid ARTMAP via tunable misclassification error tolerance: Boosted Ellipsoid ARTMAP. In Proc. of the international joint conference on neural networks

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