DocumentCode
1979268
Title
A flexible architecture for neural networks
Author
Ouali, J. ; Saucier, G.
Author_Institution
Inst. Nat. Polytech. de Grenoble, CSI, France
fYear
1989
fDate
2-4 Oct 1989
Firstpage
483
Lastpage
486
Abstract
A distributed, synchronous architecture for neural networks is presented. The basic processor is associated to one neuron and is able to autonomously perform all the steps of the learning and relaxation phases. Data circulation is implemented by shifting techniques. Customization of the network is done by fixing identification data in dedicated memory elements
Keywords
neural nets; parallel architectures; data circulation; dedicated memory elements; distributed architecture; identification data; learning; network customization; neural networks; neuron; relaxation; shifting techniques; synchronous architecture; Computational modeling; Computer architecture; Computer simulation; Concurrent computing; Encoding; Information processing; Neural networks; Neurons; Silicon; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Design: VLSI in Computers and Processors, 1989. ICCD '89. Proceedings., 1989 IEEE International Conference on
Conference_Location
Cambridge, MA
Print_ISBN
0-8186-1971-6
Type
conf
DOI
10.1109/ICCD.1989.63413
Filename
63413
Link To Document