The inverse Castelzho mapping in neurofuzzy models

Authors

  • О. Yu. Mytnik
  • P. I. Bidyuk

Abstract

Neurofuzzy model construction algorithm for nonlinear dynamic system identification is considered using Bernstein polynomials as fuzzy membership functions. A new analytical method for the inverse Castelzho mapping is proposed to determine barycentric coordinates in bivariate function approximation by the Bezier surface. Examples of using new approach for the real problems of identification some equations in the simple macroeconometric model of Ukraine’s economy are shown.

Author Biographies

О. Yu. Mytnik

Mytnik О.Yu.

P. I. Bidyuk

Bidyuk P.I.

Downloads

Issue

No. 2 (2004)

Section

New methods in system analysis, computer science and theory of decision making

License

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