The Improved Stochastic Fractional Order Gradient Descent Algorithm

This paper mainly proposes some improved stochastic gradient descent (SGD) algorithms with a fractional order gradient for the online optimization problem. For three scenarios, including standard learning rate, adaptive gradient learning rate, and momentum learning rate, three new SGD algorithms are...

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書誌詳細

出版年:	Fractal and Fractional
主要な著者:	Yang Yang, Lipo Mo, Yusen Hu, Fei Long
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-08-01
主題:	machine learning fractional calculus stochastic gradient descent convex optimization online optimization
オンライン･アクセス:	https://www.mdpi.com/2504-3110/7/8/631