DocumentCode :
765195
Title :
Implementation issues of sigmoid function and its derivative for VLSI digital neural networks
Author :
Murtagh, P. ; Tsoi, A.C.
Author_Institution :
Dept. of Electr. Eng., Queensland Univ., St Lucia, Qld., Australia
Volume :
139
Issue :
3
fYear :
1992
fDate :
5/1/1992 12:00:00 AM
Firstpage :
207
Lastpage :
214
Abstract :
Proposes a number of different implementations for the first derivative of the sigmoid function. The implementation of the sigmoid function employs a powers-of-two piecewise linear approximation. The best implementation scheme for the derivative is suggested based on overall speed performance (circuit speed and training time) and hardware requirements.
Keywords :
computerised signal processing; neural nets; piecewise-linear techniques; VLSI digital neural networks; piecewise linear approximation; sigmoid function;
fLanguage :
English
Journal_Title :
Computers and Digital Techniques, IEE Proceedings E
Publisher :
iet
ISSN :
0143-7062
Type :
jour
Filename :
141537
Link To Document :
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