Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan

This project was initiated to study the ability of Hybrid Evolutionary Algorithms (HEA) in predicting the best rule sets to explain the dynamics of dissolved oxygen pattern in 2 freshwater lakes, Tasik Bera (Bera Lake) and Putrajaya Lake. In this study, we would like to observe the correlation betwe...

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Détails bibliographiques
Auteur principal: Awanis, Azizan
Format: Thèse
Publié: 2012
Sujets:
QH301 Biology
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author Awanis, Azizan
author_facet Awanis, Azizan
author_sort Awanis, Azizan
description This project was initiated to study the ability of Hybrid Evolutionary Algorithms (HEA) in predicting the best rule sets to explain the dynamics of dissolved oxygen pattern in 2 freshwater lakes, Tasik Bera (Bera Lake) and Putrajaya Lake. In this study, we would like to observe the correlation between dissolved oxygen and other water quality parameters of the respected lakes that have been generated by the training of the algorithm. After each data training, analysis on rule sets generated was done and comparison was made against a set of testing data. Relations between each parameter were individually examined on how they reflect to the dynamics of oxygen concentration in the water bodies. The result obtained is compared to the existing research or literature to support the findings.
format Thesis
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institution Universiti Malaya
publishDate 2012
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spelling oai:studentsrepo.um.edu.my:38422013-08-20T04:14:07Z Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan Awanis, Azizan QH301 Biology This project was initiated to study the ability of Hybrid Evolutionary Algorithms (HEA) in predicting the best rule sets to explain the dynamics of dissolved oxygen pattern in 2 freshwater lakes, Tasik Bera (Bera Lake) and Putrajaya Lake. In this study, we would like to observe the correlation between dissolved oxygen and other water quality parameters of the respected lakes that have been generated by the training of the algorithm. After each data training, analysis on rule sets generated was done and comparison was made against a set of testing data. Relations between each parameter were individually examined on how they reflect to the dynamics of oxygen concentration in the water bodies. The result obtained is compared to the existing research or literature to support the findings. 2012 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/3842/1/1._Title_page%2C_abstract%2C_content.pdf application/pdf http://studentsrepo.um.edu.my/3842/2/CHAPTER_1.pdf application/pdf http://studentsrepo.um.edu.my/3842/3/CHAPTER_2.pdf application/pdf http://studentsrepo.um.edu.my/3842/4/CHAPTER_3.pdf application/pdf http://studentsrepo.um.edu.my/3842/5/CHAPTER_4.pdf application/pdf http://studentsrepo.um.edu.my/3842/6/CHAPTER_5.pdf application/pdf http://studentsrepo.um.edu.my/3842/7/REFERENCES.pdf application/pdf http://studentsrepo.um.edu.my/3842/8/APPENDIX.pdf http://pendeta.um.edu.my/client/default/search/results?qu=Application+of+hybrid+evolutionary+algorithm+%28HEA%29+to+discover+the+best+rule+set+to+explain+dissolved+oxygen+%28D.O.%29+dynamics+in+2+freshwater+lakes&te= Awanis, Azizan (2012) Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan. Masters thesis, University of Malaya. http://studentsrepo.um.edu.my/3842/
spellingShingle QH301 Biology
Awanis, Azizan
Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan
title Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan
title_full Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan
title_fullStr Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan
title_full_unstemmed Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan
title_short Application of hybrid evolutionary algorithm (HEA) to discover the best rule set to explain dissolved oxygen (D.O.) dynamics in 2 freshwater lakes / Awanis Azizan
title_sort application of hybrid evolutionary algorithm hea to discover the best rule set to explain dissolved oxygen d o dynamics in 2 freshwater lakes awanis azizan
topic QH301 Biology
url-record http://pendeta.um.edu.my/client/default/search/results?qu=Application+of+hybrid+evolutionary+algorithm+%28HEA%29+to+discover+the+best+rule+set+to+explain+dissolved+oxygen+%28D.O.%29+dynamics+in+2+freshwater+lakes&te=
http://studentsrepo.um.edu.my/3842/
work_keys_str_mv AT awanisazizan applicationofhybridevolutionaryalgorithmheatodiscoverthebestrulesettoexplaindissolvedoxygendodynamicsin2freshwaterlakesawanisazizan

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