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...
保存先:
| 第一著者: | |
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| フォーマット: | Monograph |
| 言語: | English |
| 出版事項: |
Universiti Sains Malaysia
2006
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| 主題: | |
| 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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