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Journal Article
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., AG-ART: An Adaptive Method of Evolving ART Architectures, Neurocomputing, vol. 72, pp. 2079-2092, 2009.
A. Kaylani, Al-Daraiseh, A., Georgiopoulos, M., Mollaghasemi, M., Anagnostopoulos, G. C., and Wu, A. S., Genetic Optimization of ART Neural Network Architectures, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2007), pp. 379–384, 2007.
A. Al-Daraiseh, Kaylani, A., Georgiopoulos, M., Mollaghasemi, M., Anagnostopoulos, G. C., and Kaburlasos, V. G., Genetically Engineered ART Architectures, Heidelberg: Springer-Verlag,in Computational Intelligence Based on Lattice Theory,Studies in Computational Intelligence, vol. 67, pp. 233–262, 2007.
R. Miguez, Georgiopoulos, M., and Kaylani, A., A Genetically Engineered Probabilistic Neural Network, Nonlinear Analysis: Theory, Methods & Applications, vol. 73, pp. 1783-1791, 2010.
A. Al-Dairaiseh, Kaylani, A., Georgiopoulos, M., Mollaghasemi, M., Wu, A. S., and Anagnostopoulos, G., GFAM Evolving Fuzzy ARTMAP Neural Networks, Neural Networks journal, vol. 20, pp. 874-892, 2007.
A. Al-Daraiseh, Kaylani, A., Georgiopoulos, M., Wu, A. S., Mollaghasemi, M., and Anagnostopoulos, G. C., GFAM:Evolving Fuzzy ARTMAP Neural Networks, vol. 20.8, pp. 874–892, 2007.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G. C., M-GFAM:An Elegant Approach to Genetically Optimize Fuzzy ARTMAP Neural Network Architectures, Proceedings of the 8th International Conference on Natural Computing (ICNC 2007),part of the 10th Joint Conference on Information Sciences (JCIS 2007), pp. 1617-1623, 2007.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., MO-GART: An adaptive multi-objective approach to evolving ART architectures, IEEE Transactions on Neural Networks, vol. 21, pp. 529-550, 2010.
A. Kaylani, Georgiopoulos, M., Mollaghasemi, M., and Anagnostopoulos, G., MO-GART: An adaptive multi-objective approach to evolving ART architectures, IEEE Transactions on Neural Networks, vol. 21, pp. 529-550, 2010.