Title :
Choosing among several parallel implementations of the backpropagation algorithm
Author_Institution :
Dept. Inf., Inst. Nat. des Telecommun., Evry, France
fDate :
27 Jun-2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374465
