DocumentCode
1973751
Title
An overview of the CMAC neural network
Author
Glanz, Filson H. ; Miller, W. Thomas ; Kraft, L. Gordon
Author_Institution
Robotics Lab., New Hampshire Univ., Durham, NH, USA
fYear
1991
fDate
15-17 Aug 1991
Firstpage
301
Lastpage
308
Abstract
The authors describe the cerebellar model arithmetic computer (CMAC) neural network, which is an alternative to backpropagated multilayer networks. CMAC has properties of generalization, rapid algorithmic computation based on least-mean-square (LMS) training, functional representation, output superposition, and practical hardware realization, all of which are discussed. Data concerning CMAC capacity and generalization are shown. Brief descriptions of applications in pattern recognition, robot control, and signal processing are given
Keywords
neural nets; CMAC neural network; cerebellar model arithmetic computer; functional representation; generalization; least-mean-square; output superposition; rapid algorithmic computation; Application software; Computer networks; Digital arithmetic; Hardware; Least squares approximation; Multi-layer neural network; Neural networks; Pattern recognition; Quantum computing; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Ocean Engineering, 1991., IEEE Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-0205-2
Type
conf
DOI
10.1109/ICNN.1991.163366
Filename
163366
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