These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Search MEDLINE/PubMed
Title: Convergence of gradient method with momentum for two-layer feedforward neural networks. Author: Zhang N, Wu W, Zheng G. Journal: IEEE Trans Neural Netw; 2006 Mar; 17(2):522-5. PubMed ID: 16566479. Abstract: A gradient method with momentum for two-layer feedforward neural networks is considered. The learning rate is set to be a constant and the momentum factor an adaptive variable. Both the weak and strong convergence results are proved, as well as the convergence rates for the error function and for the weight. Compared to the existing convergence results, our results are more general since we do not require the error function to be quadratic.[Abstract] [Full Text] [Related] [New Search]