High-order MS_CMAC neural network

IEEE Transactions on Neural Networks

Volumn 12, Issue 3, 2001, Pages 598-603

  Jan, J C ^a   Hung, S L ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Cerebellar model articulation controller (CMAC); High order MS_CMAC; Macro structure cerebellar model articulation controller (MS_CMAC); Quadratic splines

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CONFORMAL MAPPING; DATA STRUCTURES; INTERPOLATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION;

CONTINUOUS FUNCTION MAPPING; MACRO STRUCTURE CEREBELLAR MODEL ARTICULATION CONTROLLER; QUADRATIC SPLINES SCHEME; TRAPEZIUM SCHEME;

NEURAL NETWORKS;

EID: 0035330126     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.925562     Document Type: Article

References (11)

1. A new approach to manipulator control: The cerebellar model articulation controller (CMAC)
2. Data storage in the cerebellar model articulation controller
3. CMAC-based adaptive critic self-organized control
4. Real-time dynamic control of an industrial manipulator using a neural-network-based learning controller
5. A comparison of five algorithm for the training of CMAC memories for learning control systems
6. Fast learning in multiresolution hierarchies
7. Theory and development of higher-order CMAC neural networks
8. CMAC with general basis functions
9. A new neural structure composed of small CMACs
10. MS_CMAC neural-network learning model in structural engineering