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A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification

The purpose of this project is to study the performance, leaning time and, output of Levenberg-Marquardt (LM) intelligent system and Bayesian Regularization (BR) intelligent system through a classification problem. These studies will help in choosing the right training algorithm for classification...

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書誌詳細
第一著者:	Sa'ad, Mohamad Iqbal
フォーマット:	Monograph
言語:	English
出版事項:	Universiti Sains Malaysia 2006
主題:	T Technology TK Electrical Engineering. Electronics. Nuclear Engineering
オンライン･アクセス:	http://eprints.usm.my/58548/1/A%20Comparison%20Between%20Levenberg-Marquardt%20%28LM%29%20Intelligent%20System%20And%20Bayesian%20Regularization%20%28BR%29%20Intelligent%20System%20For%20Flow%20Regime%20Classification_Mohamad%20Iqbal%20Sa%27ad.pdf http://eprints.usm.my/58548/
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