Augmenting a Deferred Bayesian Network with a Genetic Algorithm to Correct Missed RFID Readings

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Title Augmenting a Deferred Bayesian Network with a Genetic Algorithm to Correct Missed RFID Readings
Author Darcy, Peter John; Stantic, Bela; Sattar, Abdul
Publication Title Proceedings of the First Malaysian Joint Conference on Artificial Intelligence (MJCAI 2009)
Editor Patricia Anthony, Tan Yew Seng & Dickson Lukose
Year Published 2009
Place of publication Kulala Lumpur, Malaysia
Publisher Stake Serier MIMOS BERHAD
Abstract The alluring promise of a system that would effortlessly identify a mass of objects has been the goal of all research towards Radio Frequency Identification. Unfortunately, in reality, several problems such as missed readings hinder RFID from being as globally utilised as it should be. In this investigation, we present a \emph{Deferred Bayesian Network} solution that has obtained its network configuration through means of \emph{Genetic Algorithm} training. From this research, we have found the optimal amount of chromosomes required to ensure the highest possible result. Additionally, we have compared our methodology with that of a static bayesian network from previous research and have discovered that our trained algorithm yields a cleaner data set result.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.mimos.my/mjcai2009/index.html
ISBN 978-983-42887-2-3
Conference name First Malaysian Joint Conference on Artificial Intelligence
Location Kulala Lumpur, Malaysia
Date From 2009-07-14
Date To 2009-07-16
URI http://hdl.handle.net/10072/31950
Date Accessioned 2010-01-22
Date Available 2010-07-09T07:52:47Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Database Management
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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