Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms

• Main Authors: Loo, C.K., Liew, W.S., Seera, M., Lim, Einly
• Format: Article
• Language: English
• Published: Springer Verlag (Germany) 2015
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/13734/1/Probabilistic_ensemble_Fuzzy_ARTMAP_optimization.pdf; http://eprints.um.edu.my/13734/; http://link.springer.com/article/10.1007/s00521-014-1632-y

In this study, a comprehensive methodology for overcoming the design problem of the Fuzzy ARTMAP neural network is proposed. The issues addressed are the sequence of training data for supervised learning and optimum parameter tuning for parameters such as baseline vigilance. A genetic algorithm sear...