V. I. Terekhov’s research while affiliated with Bauman Moscow State Technical University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Cognitive Visualization in Management Decision Support Problems
  • Article

January 2019

·

15 Reads

·

14 Citations

Optical Memory and Neural Networks

V. I. Terekhov

·

I. M. Chernenky

·

S. V. Buklin

·

The dynamic meta-anamorphosis method is considered as a promising tool for management decision support. The method helps activate eye-mindedness of a decision making person, simplify information examination and reduce decision latency. The paper describes the essence and algorithm of the method and gives examples of meta-anamorphoses. We consider the key approach to the calculation of the integral criterion of meta-anamorphosing that unites different physical parameters. The development of dynamic meta-anamorphosis method using genetic programming is substantiated and the directions of further research are outlined.

Citations (1)


... Note that at present, the Mivar technologies are being developed as a part of the research work on the creation of hybrid intelligent information systems (HIIS) [40] , using unstructured information [41] , metagraphs [42,43] , cognitive computer graphics [44] , neural net algorithms [45] , systems learning algorithms [46,47] , intellectual analysis methods [48] , and classical approaches to the development of multilevel systems [49] . Such an integrated approach makes it possible to solve a wide variety of practical problems in the AI field. ...

Reference:

A New Generation of Rules-based Approach: Mivar-based Intelligent Planning of Robot Actions (MIPRA) and Brains for Autonomous Robots
Cognitive Visualization in Management Decision Support Problems
  • Citing Article
  • January 2019

Optical Memory and Neural Networks