Referenced Items are not available for this document.
A new way to look at the learning algorithm in the cerebellar model articulation controller (CMAC) proposed by J.S. Albus (1975) is presented. A proof that the CMAC learning always converges with arbitrary accuracy on any set of training data is obtained. An alternative way to implement CMAC based on the insights obtained in the process is proposed. The scheme is tested with a computer simulation for learning the inverse dynamics of a two-link robot arm
Published in:
Neural Networks, IEEE Transactions on
(Volume:3
,
Issue:
1
)
Date of Publication: Jan 1992
- Page(s):
- 115 - 121
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 4125695
- Digital Object Identifier :
- 10.1109/72.105424
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Jan 1992
- Sponsored by :
- IEEE Computational Intelligence Society
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