---
title: "Training for Extremum Determination of Function of Variables Measured in Names Scale"
authors:
  - "G. S. Lbov"
doi: ""
url: "https://ijcai.org/proceedings/1971/43"
pdf: "https://ijcai.org/proceedings/1971/0043.pdf"
venue: "Proceedings of the Second International Joint Conference on Artificial Intelligence"
year: 1971
pages: "418-422"
track: ""
keywords:
---

# Training for Extremum Determination of Function of Variables Measured in Names Scale

G. S. Lbov

*Proceedings of the Second International Joint Conference on Artificial Intelligence*, pages 418-422.

## Abstract

In this paper an algorithm is given for extremum search of an unknown func- tion l'r X') when the space of variables taking discrete values is not a metric one. Function values are obtained expe- rimentally. The given algorithm is based on the idea of adaptive random search. This al- gorithm has been used for the solution of a number of practical problems for choosing an effective subsystem of de- pendent l'~a t ures in pattern recognition. It is intended for solving problems which do not correspond to know prob- lems of discrete pro programming.