FROM INTELLECTUAL MEASUREMENTS TO INTELLIGENT SYSTEMS UNDER UNCERTAINTY. REGULARIZING BAYESIAN APPROACH

UDC 004.89

Authors

S.V. PROKOPCHINA, Doctor of Technical Sciences, Professor of the Department "System Analysis in Economics"

Abstract

The article discusses various types of intelligent measurements based on a regularizing Bayesian approach. The basic properties and principles of intelligent measurements, task classes are given. The concept of creating intelligent systems based on the RBP for conditions of uncertainty is proposed.

Keywords

intelligent measurements, intelligent systems, uncertainty conditions, a regularizing Bayesian approach.