Two-Steps Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array

Two-Steps Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array

The complex equation of sigmoid function is one of the most difficult problems encountered for implementing the artificial neural network (ANN) into a field programmable gate array (FPGA). To overcome this problem, the combination of second order nonlinear function (SONF) and the differential look...

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Bibliographic Details
Main Authors: Syahrulanuar, Ngah, Rohani, Abu Bakar, Abdullah, Embong, Saifudin, Razali
Format: Article
Language:en
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/24854/1/Two-Steps%20Implementation%20of%20Sigmoid%20Function%20for%20Artificial%20Neural%20Network%20in%20Field%20Programmable%20Gate%20Array.pdf
http://umpir.ump.edu.my/id/eprint/24854/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4041.pdf
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http://umpir.ump.edu.my/id/eprint/24854/1/Two-Steps%20Implementation%20of%20Sigmoid%20Function%20for%20Artificial%20Neural%20Network%20in%20Field%20Programmable%20Gate%20Array.pdf
http://umpir.ump.edu.my/id/eprint/24854/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0416_4041.pdf

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