DocumentCode
1984128
Title
RA: an analog neurocomputer for the synchronous Boltzmann machine
Author
Pujol, H. ; Klein, J.O. ; Belhaire, E. ; Garda, P.
Author_Institution
Inst. d´´Electron. Fondamentale, Univ. de Paris-Sud, Orsay, France
fYear
1994
fDate
26-28 Sep 1994
Firstpage
449
Lastpage
455
Abstract
The Random Analog (RA) Neurocomputer runs synchronous Boltzmann machines dedicated to real time visual pattern recognition. Its architecture achieves scalability and modularity thanks to a linear array of analog processing modules linked by a high bandwidth interconnection network, a controller, and a front end running a high level user interface. A prototype with 128 input neurons and 64 active neurons and 4.2 GCPS peak processing power is described and simulation results are given
Keywords
Boltzmann machines; Random Analog Neurocomputer; analog processing modules; high level user interface; linear array; modularity; real time visual pattern recognition; scalability; synchronous Boltzmann machine; Bandwidth; CMOS technology; Computer architecture; Image processing; Multiprocessor interconnection networks; Neural networks; Neurons; Prototypes; Scalability; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on
Conference_Location
Turin
Print_ISBN
0-8186-6710-9
Type
conf
DOI
10.1109/ICMNN.1994.593741
Filename
593741
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