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...
Saved in:
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
Penerbit UTM
2014
|
| 主題: | |
| 在線閱讀: | 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|