REPRESENTING LINGUISTIC APPROXIMATION PROBLEM AS SYMBOLIC REGRESSION PROBLEM

UDC 004.023

Authors

Zernov Michail M.
Smolensk Branch of National Research University MPEI, Smolensk, Russia

Abstract

The paper considers the characteristics of various stages of solving linguistic approximation problem. The application of evolutionary methods for symbolic regression problem solving is proposed in order to overcome the computing complexity problem related to brute force method. In this context the stages and features of representing linguistic approximation problem as symbolic regression problem are envisaged

Keywords

Linguistic approximation, Symbolic regression, Evolutionary method