Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function

This paper discusses the artificial neural network (ANN) implementation into a field programmable gate array (FPGA). One of the most difficult problem encounters is the complex equation of the activation function namely sigmoid function. The sigmoid function is used as learning function to train the...

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Main Authors:	Syahrulanuar, Ngah, Rohani, Abu Bakar
Format:	Article
Language:	English
Published:	UTeM 2017
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/21765/ http://umpir.ump.edu.my/id/eprint/21765/ http://umpir.ump.edu.my/id/eprint/21765/1/Sigmoid%20function%20implementation%20using%20the%20unequal%20segmentation.pdf

id	ump-21765
recordtype	eprints
spelling	ump-217652018-09-19T07:10:38Z http://umpir.ump.edu.my/id/eprint/21765/ Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function Syahrulanuar, Ngah Rohani, Abu Bakar QA76 Computer software This paper discusses the artificial neural network (ANN) implementation into a field programmable gate array (FPGA). One of the most difficult problem encounters is the complex equation of the activation function namely sigmoid function. The sigmoid function is used as learning function to train the neural network while its derivative is used as a network activation function for specifying the point at which the network should switch to a true state. In order to overcome this problem, two-steps approach which combined the unequal segmentation of the differential look-up table (USdLUT) and the second order nonlinear function (SONF) is proposed. Based on the analysis done, the deviation achieved using the proposed method is 95%. The result obtained is much better than the previous implementation that uses equal segmentation of differential look-up table. UTeM 2017 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/21765/1/Sigmoid%20function%20implementation%20using%20the%20unequal%20segmentation.pdf Syahrulanuar, Ngah and Rohani, Abu Bakar (2017) Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function. Journal of Telecommunication, Electronic and Computer Engineering, 9 (2-8). pp. 103-108. ISSN 2180-1843 (Print); 2289-8131 (Online) http://journal.utem.edu.my/index.php/jtec/article/view/2637/1704
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Syahrulanuar, Ngah Rohani, Abu Bakar Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
description	This paper discusses the artificial neural network (ANN) implementation into a field programmable gate array (FPGA). One of the most difficult problem encounters is the complex equation of the activation function namely sigmoid function. The sigmoid function is used as learning function to train the neural network while its derivative is used as a network activation function for specifying the point at which the network should switch to a true state. In order to overcome this problem, two-steps approach which combined the unequal segmentation of the differential look-up table (USdLUT) and the second order nonlinear function (SONF) is proposed. Based on the analysis done, the deviation achieved using the proposed method is 95%. The result obtained is much better than the previous implementation that uses equal segmentation of differential look-up table.
format	Article
author	Syahrulanuar, Ngah Rohani, Abu Bakar
author_facet	Syahrulanuar, Ngah Rohani, Abu Bakar
author_sort	Syahrulanuar, Ngah
title	Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
title_short	Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
title_full	Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
title_fullStr	Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
title_full_unstemmed	Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
title_sort	sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function
publisher	UTeM
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/21765/ http://umpir.ump.edu.my/id/eprint/21765/ http://umpir.ump.edu.my/id/eprint/21765/1/Sigmoid%20function%20implementation%20using%20the%20unequal%20segmentation.pdf
first_indexed	2023-09-18T22:32:05Z
last_indexed	2023-09-18T22:32:05Z
_version_	1777416352625065984

Sigmoid function implementation using the unequal segmentation of differential lookup table and second order nonlinear function

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