Stability of Back Propagation Training Algorithm for Neural Networks
Main Article Content
Abstract
In this paper, we derive and prove the stability bounds of the momentum coefficient µ and the learning rate ? of the back propagation updating rule in Artificial Neural Networks .The theoretical upper bound of learning rate ? is derived and its practical approximation is obtained
Article Details
How to Cite
1.
Stability of Back Propagation Training Algorithm for Neural Networks. Baghdad Sci.J [Internet]. 2012 Dec. 2 [cited 2024 Dec. 19];9(4):713-9. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/1417
Section
article
How to Cite
1.
Stability of Back Propagation Training Algorithm for Neural Networks. Baghdad Sci.J [Internet]. 2012 Dec. 2 [cited 2024 Dec. 19];9(4):713-9. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/1417