DocumentCode
303376
Title
A single-layer systolic architecture for backpropagation learning
Author
Myoupo, Jean Frédéric ; Semé, David
Author_Institution
Lab. de Recherche en Inf., Picardie Jules Verne Univ., Amiens, France
Volume
2
fYear
1996
fDate
3-6 Jun 1996
Firstpage
1329
Abstract
A systolic array algorithm for backpropagation is suggested. The speed and single layer architecture appear superior to that of Kung-Hwang algorithm (1988, 1989)
Keywords
backpropagation; neural net architecture; systolic arrays; backpropagation learning; single-layer systolic architecture; Algorithm design and analysis; Artificial neural networks; Backpropagation algorithms; Biological system modeling; Biology computing; Computer architecture; Iterative algorithms; Multi-layer neural network; Neural networks; Systolic arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1996., IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3210-5
Type
conf
DOI
10.1109/ICNN.1996.549091
Filename
549091
Link To Document