Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Verlag (Germany)
2015
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/13734/1/Probabilistic_ensemble_Fuzzy_ARTMAP_optimization.pdf |