Beam forming using neural network

This report presents the development of a neural network for beam forming. This model uses Back propagation techniques for the training of the neural network. It was developed on a Pentium system. Since the approach of neural network in beam forming is a rather new area, much time and effort were sp...

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Main Author: Chua, Kee Siong.
Other Authors: Siew, David Chee Kheong
Format: Theses and Dissertations
Published: 2010
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Online Access:http://hdl.handle.net/10356/38960
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-38960
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spelling sg-ntu-dr.10356-389602023-07-04T15:50:13Z Beam forming using neural network Chua, Kee Siong. Siew, David Chee Kheong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This report presents the development of a neural network for beam forming. This model uses Back propagation techniques for the training of the neural network. It was developed on a Pentium system. Since the approach of neural network in beam forming is a rather new area, much time and effort were spent on the development and testing of different models to verify the suitability of the neural network for beam forming. This report records all the models tested and the final model adopted. Master of Science (Communications and Computer Networking) 2010-05-21T03:37:23Z 2010-05-21T03:37:23Z 1997 1997 Thesis http://hdl.handle.net/10356/38960 NANYANG TECHNOLOGICAL UNIVERSITY 225 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Chua, Kee Siong.
Beam forming using neural network
description This report presents the development of a neural network for beam forming. This model uses Back propagation techniques for the training of the neural network. It was developed on a Pentium system. Since the approach of neural network in beam forming is a rather new area, much time and effort were spent on the development and testing of different models to verify the suitability of the neural network for beam forming. This report records all the models tested and the final model adopted.
author2 Siew, David Chee Kheong
author_facet Siew, David Chee Kheong
Chua, Kee Siong.
format Theses and Dissertations
author Chua, Kee Siong.
author_sort Chua, Kee Siong.
title Beam forming using neural network
title_short Beam forming using neural network
title_full Beam forming using neural network
title_fullStr Beam forming using neural network
title_full_unstemmed Beam forming using neural network
title_sort beam forming using neural network
publishDate 2010
url http://hdl.handle.net/10356/38960
_version_ 1772828537065046016