DocumentCode
2618763
Title
An accelerated back propagation training algorithm
Author
Kothari, Ravi ; Klinkhachorn, Powsiri ; Nutter, Roy S.
Author_Institution
Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA
fYear
1991
fDate
18-21 Nov 1991
Firstpage
165
Abstract
The concept of backpropagation training with a gradual increase in accuracy is presented. The concept may be incorporated with the basic backpropagation algorithm or with the backpropagation algorithm with a momentum weight change to result in significant speed improvements without increasing the size of the network or requiring additional support hardware. Experimental results show that the proposed modification, on the average, doubles the convergence rate of the backpropagation algorithm and the backpropagation algorithm with a momentum weight change
Keywords
convergence; learning systems; neural nets; accelerated back propagation training algorithm; convergence rate; learning systems; momentum weight change; neural nets; Acceleration; Convergence; Dynamic range; Multi-layer neural network; Neural network hardware; Neural networks; Neurons; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN
0-7803-0227-3
Type
conf
DOI
10.1109/IJCNN.1991.170398
Filename
170398
Link To Document