Optimization of neural network training for image recognition based on trigonometric polynomial approximation
The paper discusses optimization issues of training Artificial Neural Networks (ANNs) using a nonlinear trigonometric polynomial function. The proposed method presents the mathematical model of an ANN as an information transmission system where effective techniques to restore signals are widely used...
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| Главные авторы: | , , , , , , , |
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| Formato: | Статья |
| Idioma: | English |
| Publicado: |
Pleiades journals
2022
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| Темы: | |
| Acceso en liña: | https://dspace.ncfu.ru/handle/20.500.12258/18567 |
| Метки: |
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