Two Novel Learning Algorithms for CMAC Neural Network Based on Changeable Learning Rate
Cerebellar Model Articulation Controller Neural Network is a computational model of cerebellum which acts as a lookup table. The advantages of CMAC are fast learning convergence, and capability of mapping nonlinear functions due to its local generalization of weight updating, single structure and ea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Research Branch,Islamic Azad University
2015-02-01
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| Series: | Journal of Advances in Computer Engineering and Technology |
| Subjects: | |
| Online Access: | https://jacet.srbiau.ac.ir/article_6107_aaa4c27e8f25242fed342b4f25718026.pdf |