Intelligent System of Classification and Clusterization of Environmental Media for Economic Systems

DOI

10.2991/aebmr.k.200509.103How to use a DOI?

Keywords

threshold coefficient, Euclidian norm, centroid (semicenter), learning speed, normalization, Kohonen algorithm, self-education, stage, gradient descent

Abstract

The article discusses the features of using Kohonen neural network in the problems of classification and clustering of environmental media. Special attention is paid to data normalization, entering mathematical relationships, and geometric interpretation.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - A. A. Kuzmenko
AU  - L.B. Filippova
AU  - A.S. Sazonova
AU  - R.A. Filippov
PY  - 2020
DA  - 2020/05/12
TI  - Intelligent System of Classification and Clusterization of Environmental Media for Economic Systems
BT  - Proceedings of the International Conference on Economics, Management and Technologies 2020 (ICEMT 2020)
PB  - Atlantis Press
SP  - 583
EP  - 586
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200509.103
DO  - 10.2991/aebmr.k.200509.103
ID  - Kuzmenko2020
ER  -