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https://dspace.ncfu.ru/handle/20.500.12258/22262
Название: | Optimization of Artificial Neural Networks using Wavelet Transforms |
Авторы: | Vershkov, N. A. Вершков, Н. А. Babenko, M. G. Бабенко, М. Г. Kuchukov, V. A. Кучуков, В. А. Kucherov, N. N. Кучеров, Н. Н. Kuchukova, N. N. Кучукова, Н. Н. |
Ключевые слова: | Artificial neural networks;Wavelet transforms |
Дата публикации: | 2022 |
Библиографическое описание: | Vershkov, N., Babenko, M., Tchernykh, A., Kuchukov, V., Kucherov, N., Kuchukova, N., Drozdov, A.Yu. Optimization of Artificial Neural Networks using Wavelet Transforms // Programming and Computer Software. - 2022. - 48 (6), pp. 376-384. - DOI: 10.1134/S036176882206007X |
Источник: | Programming and Computer Software |
Краткий осмотр (реферат): | The article presents the artificial neural networks performance optimization using wavelet trans- form. The existing approaches of wavelet transform implementation in neural networks imply either transfor- mation before neural network or using “wavenet” architecture, which requires new neural network training approaches. The proposed approach is based on the representation of the neuron as a nonrecursive adaptive filter and wavelet filter application to obtain the low-frequency part of the image. It reduces the image size and filtering interference, which is usually high-frequency. Our wavelet transform model is based on the clas- sical representation of a forward propagation neural network or convolutional layers. It allows designing neu- ral networks with the wavelet transform based on existing libraries and does not require changes in the neural network training algorithm. It was tested on three MNIST-like datasets. As a result of testing, it was found that the speed gain is approximately 50 ± 5% with a slight loss of recognition quality of no more than 4%. For practitioner programmers, the proposed algorithm was tested on real images to distinguish animals and showed similar results as the MNIST-like tests. |
URI (Унифицированный идентификатор ресурса): | http://hdl.handle.net/20.500.12258/22262 |
Располагается в коллекциях: | Статьи, проиндексированные в SCOPUS, WOS |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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scopusresults 2423 .pdf Доступ ограничен | 542.46 kB | Adobe PDF | Просмотреть/Открыть | |
WoS 1503 .pdf Доступ ограничен | 113.02 kB | Adobe PDF | Просмотреть/Открыть |
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