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» Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling
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ISNN
2007
Springer
13 years 10 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
TFS
2008
94views more  TFS 2008»
13 years 4 months ago
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling
Abstract--Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good ...
Wen Yu, Floriberto Ortiz Rodriguez, Marco A. Moren...
IJCNN
2007
IEEE
13 years 10 months ago
Nonlinear systems identification via two types of recurrent fuzzy CMAC
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
ICMLC
2010
Springer
13 years 2 months ago
CMAC-based fault accommodation control for tank system
- This paper presents a learning approach using cerebellar model articulation controller (CMAC) to accommodate faults for a class of multivariable nonlinear systems. A CMAC is prop...
Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel ...
EUSFLAT
2007
165views Fuzzy Logic» more  EUSFLAT 2007»
13 years 6 months ago
Synthesis of Distributed Fuzzy Hierarchical Model in Decision Support Systems in Fuzzy Environment
As the result of the development of Fuzzy Multiple Criteria Decision Making (FMCDM) with the help of fuzzy set theory a number of innovations have been made possible. The new appr...
Alexey N. Averkin, T. Agrafonova, N. Titova