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Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network

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Main Authors: Mei, Shan Ngan, Chee, Wei Tan
Format: Conference or Workshop Item
Published: 2011
Online Access:http://eprints.utm.my/id/eprint/46051/
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id my.utm.46051
record_format eprints
spelling my.utm.460512017-08-24T01:02:45Z http://eprints.utm.my/id/eprint/46051/ Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network Mei, Shan Ngan Chee, Wei Tan 2011 Conference or Workshop Item PeerReviewed Mei, Shan Ngan and Chee, Wei Tan (2011) Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network. In: World Academy Of Science, Engineering And Technology.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
format Conference or Workshop Item
author Mei, Shan Ngan
Chee, Wei Tan
spellingShingle Mei, Shan Ngan
Chee, Wei Tan
Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
author_facet Mei, Shan Ngan
Chee, Wei Tan
author_sort Mei, Shan Ngan
title Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
title_short Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
title_full Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
title_fullStr Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
title_full_unstemmed Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
title_sort multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
publishDate 2011
url http://eprints.utm.my/id/eprint/46051/
_version_ 1643651921406328832
score 13.214268

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