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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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit UTM
2014
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| 主題: | |
| 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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