DocumentCode :
1479889
Title :
Compact building blocks for artificial neural networks
Author :
Meléndez-Rodríguez, M. ; Silva-Martínez, J.
Author_Institution :
Nat. Inst. of Astrophys. Opt. & Electron., Puebla, Mexico
Volume :
35
Issue :
1
fYear :
1999
fDate :
1/7/1999 12:00:00 AM
Firstpage :
56
Lastpage :
57
Abstract :
A four quadrant analogue multiplier, an activation function and a differentiator intended for the implementation of backpropagation algorithms are proposed. The priorities for the design are low-power, low-voltage, and minimum silicon area. Breadboard results, showing good agreement with the theoretical ones, are reported
Keywords :
analogue multipliers; backpropagation; differentiating circuits; low-power electronics; neural nets; activation function; analogue multiplier; artificial neural network; backpropagation algorithm; building block; differentiator; low-power low-voltage circuit; silicon area;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19990017
Filename :
749220
Link To Document :
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