Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent

Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent

In this paper we propose the fractional gradient descent for increasing the training and work of modern neural networks. This optimizer searches the global minimum of the loss function considering the fractional gradient directions achieved by Riemann-Liouville, Caputo, and Grunwald-Letnikov derivat...

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書目詳細資料
Главные авторы:	Abdulkadirov, R. I., Абдулкадиров, Р. И., Lyakhov, P. A., Ляхов, П. А., Baboshina, V. A., Бабошина, В. А., Nagornov, N. N., Нагорнов, Н. Н.
格式:	Статья
語言:	English
出版:	Institute of Electrical and Electronics Engineers Inc. 2024
主題:	Caputo Stochastic gradient descent Convolutional neural networks Fractional derivatives of Riemann-Liouville Grunwald-Letnikov Multilayer perceptron Optimization algorithms
在線閱讀:	https://dspace.ncfu.ru/handle/123456789/29336
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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