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

Syahrulanuar, Ngah and Rohani, Abu Bakar and Abdullah, Embong and Saifudin, Razali (2016) Two-Steps Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array. ARPN Journal of Engineering and Applied Sciences, 11 (7). pp. 4882-4888. ISSN 1819-6608

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Abstract

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 lookup table (dLUT) has been proposed in this paper. By using this two-steps approach, the output accuracy achieved is ten times better than that of using only SONF and two times better than that of using conventional lookup table (LUT). Hence, this method can be used in various applications that required the implementation of the ANN into FPGA.

Item Type: Article
Uncontrolled Keywords: sigmoid function, second order nonlinear function, differential lookup table, FPGA
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mr. Syahrulanuar Ngah
Date Deposited: 15 May 2019 06:30
Last Modified: 15 May 2019 06:30
URI: http://umpir.ump.edu.my/id/eprint/24854
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