CMU Artificial Intelligence Repository
CMAC: Cerebellar Model Articulation Controller
CMAC implements the cerebellar model articulation controller (CMAC), a
neural network architecture proposed by J.S. Albus. This network is
applied to two of the example problems that accompany the MATLAB
Neural Network Toolbox, BCKPROP4 and CSTRAIN. These simple function
approximation examples illustrate some of the features of CMAC.
MATLAB User-Contributed Code Archive. For questions
about the archive, send mail to email@example.com.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Donald Reay
Power Electronics Group
Department of Electrical Engineering
Edinburgh EH14 4AS
Albus, Authors!Reay, CMAC, MATLAB,
Machine Learning!Neural Networks, Neural Networks
Albus, J.S., "A New Approach to Manipulator Control: The Cerebellar
Model Articulation Controller (CMAC)", Trans. ASME J. DSMC
97(3):312-324, September 1975.
Albus, J.S., "Data Storage in the Cerebellar Model Articulation
Controller", Trans. ASME J. DSMC 97(3):228-233, September 1975.
Edgar An, P.C., Miller, W.T., and Parks, P.C., "Design Improvements in
Associative Memories for Cerebellar Model Articulation Controllers
(CMAC)", Proc. ICANN, pages 1207-1210, 1991.
CMAC - Cerebellum Model Articulation Controller, AI Expert, June
1992, pages 32-41, and Transactions of ASME, Sept. 1975, pp. 220-227.
Last Web update on Mon Feb 13 10:25:15 1995