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

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..

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Sigmoid function; Second order nonlinear function; Differential look-up table
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Users 3822 not found.
Date Deposited: 14 Oct 2014 08:03
Last Modified: 02 May 2018 07:04
URI: http://umpir.ump.edu.my/id/eprint/6903
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