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- Article name
- SOLUTION OF THE TASK OF IDENTIFYING OBJECTS ON A VIRTUAL BATTLEFIELD WITH ARTIFICIAL NEURAL NETWORKS APPLICATION
- Authors
- Pastukhov A. A., , pastuhov1992@gmail.com, National Research University of Electronic Technology, Zelenograd, Moscow, Russia
- Keywords
- artificial neural network / self-organizing map / data preprocessing / objects identification
- Year
- 2018 Issue 1 Pages 15 - 21
- Code EDN
- Code DOI
- Abstract
- This article considers the possibility of using artificial neural networks for solution of the task of identifying objects on a virtual battlefield. An approach based on the use of Kohonen selforganizing maps, that allowed one to form training set and to increase the entropy of the training set was put forward. To verify the approach the MLP neural network was synthesized and trained on the data formed using the clustering. The efficiency of the approach under consideration were demonstrated.
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