Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling

@article{Yu2008HierarchicalFC,
  title={Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling},
  author={Wen Yu and Floriberto Ortiz-Rodr{\'i}guez and Marco A. Moreno-Armend{\'a}riz},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2008},
  volume={16},
  pages={1302-1314}
}
Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good local generalization capability for approximating nonlinear functions and fast learning, a normal FCMAC requires huge memory, and its dimension increases exponentially with the number of inputs. In order to overcome the memory explosion problem, this paper proposes two types of hierarchical FCMAC (HFCMAC). Another contribution of… CONTINUE READING
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