DocumentCode :
302892
Title :
Mapping of neural networks onto data flow graphs
Author :
Yuceturk, Aziz Carl ; Klauer, Berrid ; Zickenheiner, S. ; Moore, Ronald ; Waldeschmidt, K.
Author_Institution :
Tech. Inf., J.W. Goethe Univ., Frankfurt, Germany
fYear :
1996
fDate :
2-5 Sep 1996
Firstpage :
51
Lastpage :
57
Abstract :
The aim of this paper is to give a formal definition for mapping neural networks onto data flow graphs. The intention of this research is to show formally that data flow computers can be used to implement neural network models. To do this, we need formal definitions of both data flow graphs and neural networks. Based on these definitions, we generate rules for mapping neural network models onto data flow graphs
Keywords :
data flow computing; data flow graphs; neural nets; data flow computers; data flow graphs; mapping neural networks; neural networks; Application software; Backpropagation; Computer architecture; Computer networks; Concurrent computing; Data flow computing; Flow graphs; Multi-layer neural network; Neural networks; Software tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
EUROMICRO 96. Beyond 2000: Hardware and Software Design Strategies., Proceedings of the 22nd EUROMICRO Conference
Conference_Location :
Prague
ISSN :
1089-6503
Print_ISBN :
0-8186-7487-3
Type :
conf
DOI :
10.1109/EURMIC.1996.546365
Filename :
546365
Link To Document :
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