METHOD OF UNSUPERVISED LEARNING OF HIERARCHICAL EXTRACTOR OF VISUAL FEATURES BASED ON MODIFICATION OF NEURAL GAS
The modern technologies of the intellectual analysis of visual information for solving the problem of unsupervised training in real time with the aim of adapting to unknown conditions of observation are analyzed. It is proposed to use 10 layers of the well-known neural network VGG-16 as a model of t...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
National Aerospace University «Kharkiv Aviation Institute»
2019-03-01
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| Series: | Радіоелектронні і комп'ютерні системи |
| Subjects: | |
| Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/597 |
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