Intelligent System of Classification and Clusterization of Environmental Media for Economic Systems
A. A. Kuzmenko, L.B. Filippova, A.S. Sazonova, R.A. Filippov
Available Online 12 May 2020.
- 10.2991/aebmr.k.200509.103How to use a DOI?
- threshold coefficient, Euclidian norm, centroid (semicenter), learning speed, normalization, Kohonen algorithm, self-education, stage, gradient descent
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.
- © 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/).
Cite this article
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 -