Choosing an information coding scheme for a CMAC neural network

Authors:
O. G. Rudenko;A. A. Bessonov
Affiliations:
Kharkov National University of Radio Electronics, Kharkov, Ukraine;Kharkov National University of Radio Electronics, Kharkov, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2007

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Abstract

The influence of the choice of a coding scheme on properties of a CMAC network is analyzed. Since there exist several arbitrarily chosen parameters in such a network, their optimal values should be found. Computer simulation showed that the type of a coding scheme greatly influences the accuracy of not only identification but also control over nonlinear dynamical objects.