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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| Huvudupphovsmän: | , , , , , , , |
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| Materialtyp: | Статья |
| Språk: | English |
| Publicerad: |
Pleiades journals
2022
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| Ämnen: | |
| Länkar: | https://dspace.ncfu.ru/handle/20.500.12258/18567 |
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