Water quality monitoring based on support vector machine at Putrajaya lake and wetland / Zakirah Binti Mohd Azamli

A support vector machine (SVM) model is a machine learning technology. It is used for the proposed to classify the data by recognize the patterns of data. It is by work by train the data of sampling area to predict the water quality of Putrajaya Lake and Wetland based from data of water quality para...

詳細記述

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書誌詳細
第一著者: Zakirah, Mohd Azamli
フォーマット: 学位論文
出版事項: 2012
主題:
オンライン・アクセス:http://studentsrepo.um.edu.my/3717/4/1._Title_page%2C_abstract%2C_content.pdf
http://studentsrepo.um.edu.my/3717/5/2._Chap_1_%E2%80%93_6.pdf
http://studentsrepo.um.edu.my/3717/6/3._References.pdf
http://studentsrepo.um.edu.my/3717/7/4._Appendices.pdf
http://pendeta.um.edu.my/client/default/search/results?qu=Water+quality+monitoring+based+on+support+vector+machine+at+Putrajaya+lake+and+wetland&te=
http://studentsrepo.um.edu.my/3717/
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