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
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;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549091
