TY - JOUR T1 - Convergence of Gradient Method with Momentum for Back-Propagation Neural Networks 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.