DocumentCode
3353088
Title
Improved back-propagation algorithm for neural networks
Author
Manjun, Liang ; Zhu, Shi
Author_Institution
Comput & Inf. Dept., Hefei Univ. of Technol., China
fYear
1994
fDate
5-9 Dec 1994
Firstpage
293
Lastpage
296
Abstract
An improved back-propagation (BP) algorithm for neural networks is proposed. This algorithm gives a faster learning speed as compared with the usual BP algorithm. This done by including a momentum method, a cumulative back-propagation method, and a composite method
Keywords
backpropagation; neural nets; backpropagation algorithm; composite method; cumulative backpropagation method; learning speed; momentum method; neural networks; Algorithm design and analysis; Artificial neural networks; Circuits; Large-scale systems; Multi-layer neural network; Neural networks; Neurons; Nonlinear dynamical systems; Supervised learning; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
0-7803-1978-8
Type
conf
DOI
10.1109/ICIT.1994.467110
Filename
467110
Link To Document