Solving optimization problems in communications using neural networks

The development of communication engineering (Internet, satellites, mobiles) changes our daily life. The optimization problems in communications have motivated research in computational intelligence techniques these years. To improve neural network algorithms for the shortest path routing problem (S...

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Bibliographic Details
Main Author:	Liu, Wen
Other Authors:	Wang Lipo
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies
Online Access:	https://hdl.handle.net/10356/18828
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-18828
record_format	dspace
spelling	sg-ntu-dr.10356-188282023-07-04T16:49:43Z Solving optimization problems in communications using neural networks Liu, Wen Wang Lipo School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies The development of communication engineering (Internet, satellites, mobiles) changes our daily life. The optimization problems in communications have motivated research in computational intelligence techniques these years. To improve neural network algorithms for the shortest path routing problem (SPRP), we propose a solution approach using a noisy Hopfield neural network (NHNN) by adding decaying stochastic noise to the continuous Hopfield neural network (HNN). We also improve the energy function for the SPRP. Simulation results show that our approach offers further improvements on route optimality rate compared to other algorithm that employ the HNN. DOCTOR OF PHILOSOPHY (EEE) 2009-07-20T03:42:34Z 2009-07-20T03:42:34Z 2008 2008 Thesis Liu, W. (2008). Solving optimization problems in communications using neural networks. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/18828 10.32657/10356/18828 en 178 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies Liu, Wen Solving optimization problems in communications using neural networks
description	The development of communication engineering (Internet, satellites, mobiles) changes our daily life. The optimization problems in communications have motivated research in computational intelligence techniques these years. To improve neural network algorithms for the shortest path routing problem (SPRP), we propose a solution approach using a noisy Hopfield neural network (NHNN) by adding decaying stochastic noise to the continuous Hopfield neural network (HNN). We also improve the energy function for the SPRP. Simulation results show that our approach offers further improvements on route optimality rate compared to other algorithm that employ the HNN.
author2	Wang Lipo
author_facet	Wang Lipo Liu, Wen
format	Theses and Dissertations
author	Liu, Wen
author_sort	Liu, Wen
title	Solving optimization problems in communications using neural networks
title_short	Solving optimization problems in communications using neural networks
title_full	Solving optimization problems in communications using neural networks
title_fullStr	Solving optimization problems in communications using neural networks
title_full_unstemmed	Solving optimization problems in communications using neural networks
title_sort	solving optimization problems in communications using neural networks
publishDate	2009
url	https://hdl.handle.net/10356/18828
_version_	1772826689131249664

Solving optimization problems in communications using neural networks

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