Ying-Yang approach to the optimization of fuzzy cerebellar model articulation controller
The Cerebellar Model Articulation Controller (CMAC) neural network has attractive properties of fast learning speed and simple computation, but its rigid structure is a disadvantage. Our research aims at the fuzzification phase and the rule weighting process to improve FCMAC by Bayesian Ying-Yang (B...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
2008
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/2493 |