Title: Accelerated training of backpropagation networks by using adaptive momentum step
Abstract: Considerable research into the training of neural networks by the backpropagation technique has been undertaken in recent years. Introduction of a momentum term into the training equation can accelerate the training process. In the Letter a new momentum step and a scheme for dynamically selecting the momentum rate are described. It is shown that these give improved acceleration of training and strong global convergence characteristics. Results are presented for four benchmark training tasks.
Publication Year: 1992
Publication Date: 1992-01-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 31
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot