Modified back propagation algorithm for learning artificial neural networks

被引：8

作者：

Ahmed, WAM ^{[1
]}

Saad, EM ^{[1
]}

Aziz, EA ^{[1
]}

机构：

[1] Cairo Univ, Cairo, Egypt

来源：

PROCEEDINGS OF THE EIGHTEENTH NATIONAL RADIO SCIENCE CONFERENCE, VOLS 1 AND 2 | 2001年

关键词：

D O I：

10.1109/NRSC.2001.929244

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Back Propagation is now the most widely used tool in the field of Artificial Neural Networks. Many attempts try to enhance this algorithm to get minimum mean square error, less training time and small number of epochs. This paper first reviews the disadvantages of the Back Propagation algorithm. Next, the new modified Back Propagation is explained. Finally, comparison between the two algorithms is made through many examples.

引用

页码：345 / 352

页数：4