DocumentCode :
2155960
Title :
Advances in neural network hardware
Author :
Graf, H.P. ; Jackel, L.D.
Author_Institution :
AT&T Bell Lab., Holmdel, NJ, USA
fYear :
1988
fDate :
11-14 Dec. 1988
Firstpage :
766
Lastpage :
769
Abstract :
After discussing possible applications of neural networks, the authors examine hardware implementation including emulators, analog microelectronic implementations, and the synaptic interconnections. Examples of neural network chips are considered. The circuits have programmable interconnections, but the weight values have to be computed externally and are then loaded onto the chip. The designs are all fabricated in standard CMOS technology.<>
Keywords :
CMOS integrated circuits; analogue circuits; linear integrated circuits; neural nets; CMOS technology; analog microelectronic implementations; emulators; monolithic IC; neural network hardware; programmable interconnections; synaptic interconnections; Biological neural networks; Biological system modeling; Computer networks; Integrated circuit interconnections; Intelligent networks; Neural network hardware; Neural networks; Neurons; Optical fiber networks; Resistors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electron Devices Meeting, 1988. IEDM '88. Technical Digest., International
Conference_Location :
San Francisco, CA, USA
ISSN :
0163-1918
Type :
conf
DOI :
10.1109/IEDM.1988.32924
Filename :
32924
Link To Document :
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