Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad

Artificial neural networks (ANN) are known to be able to improve electrochemical sensor signal interpretation. The hardware realization of ANN requires investigation of many design issues relating to signal interfacing and design of a single neuron. This report focuses on the design of neuron archit...

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Main Author:	Mohamad, Khairudin
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	https://ir.uitm.edu.my/id/eprint/98642/1/98642.pdf
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id	my-uitm-ir.98642
record_format	uketd_dc
spelling	my-uitm-ir.986422024-07-28T16:07:14Z Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad 2012 Mohamad, Khairudin TK Electrical engineering. Electronics. Nuclear engineering Artificial neural networks (ANN) are known to be able to improve electrochemical sensor signal interpretation. The hardware realization of ANN requires investigation of many design issues relating to signal interfacing and design of a single neuron. This report focuses on the design of neuron architecture on FPGA for electrochemical sensor signal. The objective of this project is to translate the data from electrochemical sensor signals and process the data with neuron structure and analyze how different digital module of the neuron could affect the data accuracy and performance of the design. It encompasses interfacing from analogue to digital, data structure and the design process of the simple neuron which includes adder, multiplier and multiplier accumulator (MAC). A major component of the algorithm is the design of the activation function. The chosen activation function is the hyperbolic tangent which is approximated by Taylor Series expansion. The neuron is evaluated on an Altera DE2-70 FPGA. The performances are evaluated in terms of functionality, usage of resources and timing analysis. For the data structure, it was demonstrated that increasing the fractional bits increases the precision. For the MAC was found that by using topology 2, propagation can be reducing up to 19.145ns 2012 Thesis https://ir.uitm.edu.my/id/eprint/98642/ https://ir.uitm.edu.my/id/eprint/98642/1/98642.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Hanim, Wan Faziida
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Hanim, Wan Faziida
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Mohamad, Khairudin Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
description	Artificial neural networks (ANN) are known to be able to improve electrochemical sensor signal interpretation. The hardware realization of ANN requires investigation of many design issues relating to signal interfacing and design of a single neuron. This report focuses on the design of neuron architecture on FPGA for electrochemical sensor signal. The objective of this project is to translate the data from electrochemical sensor signals and process the data with neuron structure and analyze how different digital module of the neuron could affect the data accuracy and performance of the design. It encompasses interfacing from analogue to digital, data structure and the design process of the simple neuron which includes adder, multiplier and multiplier accumulator (MAC). A major component of the algorithm is the design of the activation function. The chosen activation function is the hyperbolic tangent which is approximated by Taylor Series expansion. The neuron is evaluated on an Altera DE2-70 FPGA. The performances are evaluated in terms of functionality, usage of resources and timing analysis. For the data structure, it was demonstrated that increasing the fractional bits increases the precision. For the MAC was found that by using topology 2, propagation can be reducing up to 19.145ns
format	Thesis
qualification_level	Bachelor degree
author	Mohamad, Khairudin
author_facet	Mohamad, Khairudin
author_sort	Mohamad, Khairudin
title	Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
title_short	Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
title_full	Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
title_fullStr	Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
title_full_unstemmed	Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad
title_sort	design of neuron architecture on fpga for electromechanical sensor signals / khairudin mohamad
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/98642/1/98642.pdf
_version_	1811768949391491072

Design of neuron architecture on FPGA for electromechanical sensor signals / Khairudin Mohamad

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