NEURO-FUZZY MODELING OF EXPERIMENTAL DATA ON OPTIMIZATION OF THE SPECTRAL CHARACTERISTICS OF FOCL
Keywords:approximation, regression model, Sugeno fuzzy knowledge base, neuro-fuzzy model, spectral line, FOCL, FOTS
In this article, we consider the issues of approximating experimental data. It is shown that
the advantage of using fuzzy methods in comparison with other existing methods when choosing an
approximation model is efficiency in solving non-formalized or poorly formalized problems, efficiency
when working with a large amount of conflicting information, efficiency when working with incomplete
information. The approximation of experimental data on the study of spectral lines of FOCL using
the regression model, the Sugeno fuzzy knowledge base and the neuro-fuzzy model is carried out.