DocumentCode
2692819
Title
A simple and converged structure of addressing technique for CMAC_GBF
Author
Chiang, Ching-Tsan ; Chiang, Tung-sheng ; Li, Chien-Kuo
Author_Institution
Dept. of Electr. Eng., Ching Yun Univ., Jung-Li, Taiwan
Volume
7
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
6097
Abstract
This paper proposed a simple and converged structure of addressing technique for CMAC_GBF (cerebellar model articulation controller with general basis function). The structure of addressing technique for original CMAC_GBF has two major problems: one is the structure of addressing technique does not have a fixed procedure to find it, the other is the memory size growing too large in the high dimension input space systems. In this paper, the procedure to find the simple structure is developed. The mathematical basis for this simple structure is derived and the learning convergence is guaranteed. Simulations for the simple structure of CMAC_GBF are performed to demonstrate the learning performance and the capability in reducing the memory size of system.
Keywords
cerebellar model arithmetic computers; learning (artificial intelligence); mathematical analysis; neurocontrollers; storage allocation; CMAC_GBF; addressing technique; cerebellar model articulation controller; converged structure; general basis function; high dimension input space systems; learning convergence; mathematical basis; Control systems; Convergence; Electrical equipment industry; Fuel storage; Geology; Hypercubes; Industrial control; Manipulators; Quantization; Robot control;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1401355
Filename
1401355
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