DocumentCode
1578620
Title
Parallel neurocomputer realisation of the backpropagation algorithm
Author
Galuyev, G.A.
Author_Institution
Res. Inst. for Multiprocessor Comput. Syst., Taganrog, Russia
fYear
1992
Firstpage
560
Abstract
The authors discusses the possibilities of the parallel digital neurocomputer realization of the backpropagation neuronlike networks i.e., their PDNPA (parallel digital neurocomputer with programmable architecture)-based realization based on the neurocomputing performed by the DNP. The results obtained make it possible to construct parallel digital neurocomputers taught by the backpropagation method, which can provide an effective solution for a wide class of pattern recognition problems in real time
Keywords
backpropagation; neural nets; parallel architectures; backpropagation neuronlike networks; parallel digital neurocomputer realization; programmable architecture; Approximation algorithms; Backpropagation algorithms; Multi-layer neural network; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location
Rostov-on-Don
Print_ISBN
0-7803-0809-3
Type
conf
DOI
10.1109/RNNS.1992.268578
Filename
268578
Link To Document