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Neural network modeling for main steam temperature system

Main Steam Temperature (MST) is non-linear, large inertia, long dead time and load dependant parameters. The paper present MST modeling method using actual plant data by utilizing MATLAB's Neural Network toolbox. The result of the simulation showed the MST model based on actual plant data is po...

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書誌詳細
主要な著者:	Mazalan, Nor A., A. Malek, Azlan, Abdul Wahid, Mazlan, Mailah, Musa
フォーマット:	論文
言語:	English
出版事項:	Penerbit UTM 2014
主題:	TJ Mechanical engineering and machinery
オンライン･アクセス:	http://eprints.utm.my/id/eprint/54230/1/NorA.Mazalan2014_Neuralnetworkmodelingformain.pdf http://eprints.utm.my/id/eprint/54230/ http://dx.doi.org/10.11113/jt.v69.3151
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