Abstract: 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 ...
Abstract: Accurate pattern recognition under conditions of limited training samples is a significant challenge in partial discharge (PD) detection for generators. To address this issue, a novel method ...