DocumentCode
288577
Title
Choosing among several parallel implementations of the backpropagation algorithm
Author
Pétrowski, A.
Author_Institution
Dept. Inf., Inst. Nat. des Telecommun., Evry, France
Volume
3
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
1981
Abstract
Three parallel implementations of the backpropagation algorithm are studied. The performance for each of these implementations is estimated for three prototypes of neural architectures chosen in such a way that they are limit cases of a wide range of feedforward architectures. This study, based on performance analysis validated by experiments, follows two other papers already published
Keywords
backpropagation; feedforward neural nets; neural net architecture; backpropagation algorithm; feedforward architectures; neural architectures; parallel implementations; Backpropagation algorithms; Computer networks; Feedforward systems; Iterative algorithms; Neural networks; Neurons; Parallel processing; Performance analysis; Pipelines; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374465
Filename
374465
Link To Document