Prediction of boiler output variables through the PLS linear regression technique
Joint Authors
al-Kurdi, Abd al-Malak
Zelmat, Mimoun
al-Barbar, al-Husayn
Source
The International Arab Journal of Information Technology
Issue
Vol. 8, Issue 3 (31 Jul. 2011), pp.260-264, 5 p.
Publisher
Publication Date
2011-07-31
Country of Publication
Jordan
No. of Pages
5
Main Subjects
Information Technology and Computer Science
Abstract EN
In this work, we propose to use the linear regression partial least square method to predict the output variables of the RA1G boiler.
This method consists in finding the regression of an output block regarding an input block.
These two blocks represent the outputs and inputs of the process.
A criteria of cross validation, based on the calculation of the predicted residual sum of squares, is used to select the components of the model in the partial least square regression.
The obtained results illustrate the effectiveness of this method for prediction purposes.
American Psychological Association (APA)
al-Kurdi, Abd al-Malak& Zelmat, Mimoun& al-Barbar, al-Husayn. 2011. Prediction of boiler output variables through the PLS linear regression technique. The International Arab Journal of Information Technology،Vol. 8, no. 3, pp.260-264.
https://search.emarefa.net/detail/BIM-265408
Modern Language Association (MLA)
al-Kurdi, Abd al-Malak…[et al.]. Prediction of boiler output variables through the PLS linear regression technique. The International Arab Journal of Information Technology Vol. 8, no. 3 (Jul. 2011), pp.260-264.
https://search.emarefa.net/detail/BIM-265408
American Medical Association (AMA)
al-Kurdi, Abd al-Malak& Zelmat, Mimoun& al-Barbar, al-Husayn. Prediction of boiler output variables through the PLS linear regression technique. The International Arab Journal of Information Technology. 2011. Vol. 8, no. 3, pp.260-264.
https://search.emarefa.net/detail/BIM-265408
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 263
Record ID
BIM-265408