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Improvement of Speedy Algorithm of CMAC for Gauss Basis Functions and Its Application

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2005年02期
Page:
140-143
Research Field:
Publishing date:

Info

Title:
Improvement of Speedy Algorithm of CMAC for Gauss Basis Functions and Its Application
Author(s):
QI Hai-longLI Xiu-juan
College of Automation,Nanjing University of Aeronautics and Astronautics, Nanjing 210016,China
Keywords:
CMAC Gauss basis funct ion genet ic algorithm learning rate servo systems
PACS:
O241
DOI:
-
Abstract:
The speedy algorithm of Gauss Basis CMAC( Cerebellar Model Articulat ion Controleer) is improved. Inview of its problem of learning rate. s selection, an optimizat ion of learning rate based on Genet icAlgorithm is presented. This method makes the learning rate. s select ion be optimal. The feasibility of this method is discussed. A tactic of separat ing the process of the parameter opt imization from the pract ical cont rol process is presented. The simulat ion results in a servo system show that this improved method can avoid the uncertainty of learning rate selected by experience and improve the speed of convergence of the CMAC.

References:

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Last Update: 2013-05-23