DocumentCode
328361
Title
Parallel learning on the ArMenX machine by defining sub-networks
Author
Autret, Y. ; Thepaut, A. ; Ouvradou, G. ; Le Drezen, J. ; Laisne, J.D.
Author_Institution
Fac. des Sci., Univ. de Bretagne Occidentale, Brest, France
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
915
Abstract
In this paper, we describe a parallel machine and show how it can be used for implementing parallel learning. The machine, called ArMenX, includes digital signal processors (DSPs) and transputers. DSPs are used for neural network computations. Transputers are used for DSP dynamic allocation. An existing learning algorithm has been chosen and implemented on the machine.
Keywords
digital signal processing chips; learning (artificial intelligence); learning systems; neural net architecture; neural nets; parallel architectures; parallel machines; transputers; ArMenX machine; digital signal processors; learning algorithm; neural network; parallel learning machine; transputers; Computer networks; Computer vision; Digital signal processing; Field programmable gate arrays; Machine learning; Neural networks; Parallel machines; Random access memory; Read-write memory; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714060
Filename
714060
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