NEURO-FUZZY MODELING OF EXPERIMENTAL DATA ON OPTIMIZATION OF THE SPECTRAL CHARACTERISTICS OF FOCL

Abstract

In this article, we consider the issues of approximating experimental data. It is shown thatthe advantage of using fuzzy methods in comparison with other existing methods when choosing anapproximation model is efficiency in solving non-formalized or poorly formalized problems, efficiencywhen working with a large amount of conflicting information, efficiency when working with incompleteinformation. The approximation of experimental data on the study of spectral lines of FOCL usingthe regression model, the Sugeno fuzzy knowledge base and the neuro-fuzzy model is carried out.

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