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

In this paper, a combination of second order nonlinear function (SONF) and differential look-up table (differential LUT) is introduced as a sigmoid function for implementing the artificial neural network (ANN) in field programmable gate array (FPGA). Implementing ANN on FPGA will overcome the slow r...

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Main Authors:	Syahrulanuar, Ngah, Rohani, Abu Bakar, Abdullah, Embong
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/6903/ http://umpir.ump.edu.my/id/eprint/6903/1/Two-Step_Implementation_of_Sigmoid_Function_for_Artificial_Neural_Network_in_Field_Programmable_Gate_Array.pdf

id	ump-6903
recordtype	eprints
spelling	ump-69032018-05-02T07:04:52Z http://umpir.ump.edu.my/id/eprint/6903/ Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong QA75 Electronic computers. Computer science In this paper, a combination of second order nonlinear function (SONF) and differential look-up table (differential LUT) is introduced as a sigmoid function for implementing the artificial neural network (ANN) in field programmable gate array (FPGA). Implementing ANN on FPGA will overcome the slow response for real-time application and portable issues that arise in the software-based ANN. The output accuracy achieved by this two-step approach is ten times better than that of using only SONF and two times better than that of using conventional LUT. Thus the proposed idea is suitable to be implemented as a hardware-based ANN for various real-time applications. 2014-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6903/1/Two-Step_Implementation_of_Sigmoid_Function_for_Artificial_Neural_Network_in_Field_Programmable_Gate_Array.pdf Syahrulanuar, Ngah and Rohani, Abu Bakar and Abdullah, Embong (2014) Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array. In: IEEE Symposium on Computers & Informatics (ISCI 2014), 28-29 September 2014 , Kota Kinabalu, Sabah. pp. 1-4..
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
description	In this paper, a combination of second order nonlinear function (SONF) and differential look-up table (differential LUT) is introduced as a sigmoid function for implementing the artificial neural network (ANN) in field programmable gate array (FPGA). Implementing ANN on FPGA will overcome the slow response for real-time application and portable issues that arise in the software-based ANN. The output accuracy achieved by this two-step approach is ten times better than that of using only SONF and two times better than that of using conventional LUT. Thus the proposed idea is suitable to be implemented as a hardware-based ANN for various real-time applications.
format	Conference or Workshop Item
author	Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong
author_facet	Syahrulanuar, Ngah Rohani, Abu Bakar Abdullah, Embong
author_sort	Syahrulanuar, Ngah
title	Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
title_short	Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
title_full	Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
title_fullStr	Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
title_full_unstemmed	Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
title_sort	two-step implementation of sigmoid function for artificial neural network in field programmable gate array
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/6903/ http://umpir.ump.edu.my/id/eprint/6903/1/Two-Step_Implementation_of_Sigmoid_Function_for_Artificial_Neural_Network_in_Field_Programmable_Gate_Array.pdf
first_indexed	2023-09-18T22:03:05Z
last_indexed	2023-09-18T22:03:05Z
_version_	1777414528221315072

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

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