DocumentCode
1722725
Title
Computation of a nonlinear squashing function in digital neural networks
Author
Havel, Vladimír ; Vlcek, Karel
Author_Institution
Dept. of Comput. Sci., Tech. Univ. of Ostrava, Ostrava
fYear
2008
Firstpage
1
Lastpage
4
Abstract
The paper deals with implementing nonlinear sigmoid-like squashing functions in FPGA based neural networks. Five piecewise linear (PWL) approximation techniques and a look-up table are compared. It is examined their performance in terms of recall delay, area requirements, and accuracy in two FPGA neural networks.
Keywords
approximation theory; field programmable gate arrays; neural chips; piecewise linear techniques; table lookup; FPGA; digital neural network; look-up table; nonlinear squashing function; piecewise linear approximation; recall delay; Artificial neural networks; Computer networks; Field programmable gate arrays; Logic arrays; Neural network hardware; Neural networks; Parallel processing; Piecewise linear approximation; Piecewise linear techniques; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Design and Diagnostics of Electronic Circuits and Systems, 2008. DDECS 2008. 11th IEEE Workshop on
Conference_Location
Bratislava
Print_ISBN
978-1-4244-2276-0
Electronic_ISBN
978-1-4244-2277-7
Type
conf
DOI
10.1109/DDECS.2008.4538748
Filename
4538748
Link To Document