A fuzzy CMAC structure and learning method for function approximation

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2001, Pages 436-439

  Lai, Hung Ren ^a   Wong, Ching Chang ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; FUNCTION EVALUATION; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; PARAMETER ESTIMATION; RADIAL BASIS FUNCTION NETWORKS; TABLE LOOKUP; VECTOR QUANTIZATION;

BASIS FUNCTIONS; FUNCTION APPROXIMATION; FUZY CEREBELLAR MODEL ARTICULATION CONTROLLER; SINUSOID FUNCTION;

FUZZY SETS;

EID: 0035746785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. A new approach to manipulator control: The cerebellar model articulation controller
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3. Sensor-based control of robotic manipulators using a general learning algorithm
4. CMAC: An associative neural network alternative to backpropagation
5. Enhancement of the weight cell utilization for CMAC neural networks: Architecture design and hardware implementation
6. Cerebellar model arithmetic computer with bacterial evolutionary algorithm and its hardware acceleration using FPGA
7. Improved allocation of weights for associative memory storage in learning control system
8. The generalized CMAC
9. Improving the generalization capability of the binary CMAC
10. Use of adaptive resolution for better CMAC learning
11. On the training of a multi-resolution CMAC neural network
12. A fuzzy cerebellar model articulation controller
13. Optimal design and optimal algorithm of fuzzy CMAC
14. Fuzzy CMAC and its application
15. Two dimensional function learning using CMAC neural network with optimized weight smoothing