full
search.png

Search

close.png

Cancel

arrow
Volume 26, Issue 4
Convergence of Gradient Method with Momentum for Back-Propagation Neural Networks

Wei Wu, Naimin Zhang, Zhengxue Li, Long Li & Yan Liu

J. Comp. Math., 26 (2008), pp. 613-623.

Published online: 2008-08

Preview Full PDF 2297 23958

Cited by

google scholar semantic scholar
Export citation
  • Abstract

In this work, a gradient method with momentum for BP neural networks is considered. The momentum coefficient is chosen in an adaptive manner to accelerate and stabilize the learning procedure of the network weights. Corresponding convergence results are proved.

  • Keywords

Back-propagation (BP) neural networks, Gradient method, Momentum, Convergence.

  • AMS Subject Headings

68Q32, 68T05.

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JCM-26-613, author = {Wei Wu, Naimin Zhang, Zhengxue Li, Long Li and Yan Liu}, title = {Convergence of Gradient Method with Momentum for Back-Propagation Neural Networks}, journal = {Journal of Computational Mathematics}, year = {2008}, volume = {26}, number = {4}, pages = {613--623}, abstract = {

In this work, a gradient method with momentum for BP neural networks is considered. The momentum coefficient is chosen in an adaptive manner to accelerate and stabilize the learning procedure of the network weights. Corresponding convergence results are proved.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/8645.html} }
TY - JOUR T1 - Convergence of Gradient Method with Momentum for Back-Propagation Neural Networks AU - Wei Wu, Naimin Zhang, Zhengxue Li, Long Li & Yan Liu JO - Journal of Computational Mathematics VL - 4 SP - 613 EP - 623 PY - 2008 DA - 2008/08 SN - 26 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/8645.html KW - Back-propagation (BP) neural networks, Gradient method, Momentum, Convergence. AB -

In this work, a gradient method with momentum for BP neural networks is considered. The momentum coefficient is chosen in an adaptive manner to accelerate and stabilize the learning procedure of the network weights. Corresponding convergence results are proved.

Wei Wu, Naimin Zhang, Zhengxue Li, Long Li and Yan Liu. (2008). Convergence of Gradient Method with Momentum for Back-Propagation Neural Networks. Journal of Computational Mathematics. 26 (4). 613-623. doi:
Copy to clipboard
BibteX RIS TXT
The citation has been copied to your clipboard