MATRIX PREDICTIVE MODEL AND ITS LEARNING IN TASKS OF ENVIRONMENTAL MONITORING

  • Елена Вадимовна Мантула Kharkiv National University of Radio Electronics
  • Сергей Владимирович Машталир Харківський національний університет радіоелектроніки

Abstract

An approach to the synthesis of matrix predictive models of two-dimensional fields of observation is offeredandintroduced the procedure of estimating the parameters of these models which are generalizations of adaptive algorithms identify the matrix case,for the solution of problems of environmental monitoring, that have a problem related to the fact that  the raw data are"noised" by intense interference and controlled by themselves sufficient non-stationary sequences. These procedures are characterized by simple numerical implementation.

Author Biographies

Елена Вадимовна Мантула, Kharkiv National University of Radio Electronics

Graduate student

Сергей Владимирович Машталир, Харківський національний університет радіоелектроніки

Candidate of Technical Sciences, Associate Professor

Published
2019-02-25
How to Cite
Мантула, Е., & Машталир, С. (2019). MATRIX PREDICTIVE MODEL AND ITS LEARNING IN TASKS OF ENVIRONMENTAL MONITORING. Electrotechnic and Computer Systems, (10(86), 152-156. Retrieved from https://eltecs.op.edu.ua/index.php/journal/article/view/1421
Section
Artificial Intellect Systems

Most read articles by the same author(s)