DocumentCode
3527636
Title
Neural network chips
Author
Jackel, L.D. ; Howard, R.E. ; Graf, H.P. ; Hubbard, W. ; Denker, J.S. ; Henderson, D.
Author_Institution
AT&T Bell Lab., Holmdel, NJ, USA
fYear
1988
fDate
4-7 Nov. 1988
Firstpage
1495
Abstract
Early results from exploring alternative computer architectures based on hints from neurobiology suggest that networks of highly-interconnected, simple, low-precision processors can give tools for tackling problems that have been hard or impossible to do on standard computers. The authors describe an electronic neural model and show how this model is readily adapted for use in pattern-recognition tasks. They also describe a chip, implementing this model, that is used for handwritten digit recognition.<>
Keywords
computerised pattern recognition; microprocessor chips; neural nets; computer architecture; electronic neural model; handwritten digit recognition; highly-interconnected simple low-precision processors; neurobiology; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Conference_Location
New Orleans, LA, USA
Print_ISBN
0-7803-0785-2
Type
conf
DOI
10.1109/IEMBS.1988.95346
Filename
95346
Link To Document