A Study on the Convergence of Gradient Method with Momentum for Sigma-Pi-Sigma Neural Networks

Journals Menu

Follow SCIRP

ISSN Print: 2327-4352
ISSN Online: 2327-4379
www.scirp.org/journal/jamp
E-mail: jamp@scirp.org

"A Study on the Convergence of Gradient Method with Momentum for Sigma-Pi-Sigma Neural Networks"
written by Xun Zhang, Naimin Zhang,
published by Journal of Applied Mathematics and Physics, Vol.6 No.4, 2018

has been cited by the following article(s):

[1]	Gradient Convergence of Deep Learning-Based Numerical Methods for BSDEs
	2021

Follow SCIRP

[1]	CGFL: A Robust Federated Learning Approach for Intrusion Detection Systems Based on Data Generation Applied Sciences, 2025 DOI:10.3390/app15052416

[2]	Gradient Convergence of Deep Learning-Based Numerical Methods for BSDEs Chinese Annals of Mathematics, Series B, 2021 DOI:10.1007/s11401-021-0253-x