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2009 First Asian Conference on Intelligent Information and Database Systems
Black Box Modeling of Steam Distillation Essential Oil Extraction System Using NNARX Structure
Dong hoi, Quang binh, Vietnam
April 01-April 03
ISBN: 978-0-7695-3580-7
| ASCII Text | x | ||
| Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Yusof Md Salleh, "Black Box Modeling of Steam Distillation Essential Oil Extraction System Using NNARX Structure," Intelligent Information and Database Systems, Asian Conference on, pp. 324-329, 2009 First Asian Conference on Intelligent Information and Database Systems, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ACIIDS.2009.95, author = {Mohd Hezri Fazalul Rahiman and Mohd Nasir Taib and Yusof Md Salleh}, title = {Black Box Modeling of Steam Distillation Essential Oil Extraction System Using NNARX Structure}, journal ={Intelligent Information and Database Systems, Asian Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3580-7}, pages = {324-329}, doi = {http://doi.ieeecomputersociety.org/10.1109/ACIIDS.2009.95}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Information and Database Systems, Asian Conference on TI - Black Box Modeling of Steam Distillation Essential Oil Extraction System Using NNARX Structure SN - 978-0-7695-3580-7 SP324 EP329 A1 - Mohd Hezri Fazalul Rahiman, A1 - Mohd Nasir Taib, A1 - Yusof Md Salleh, PY - 2009 VL - 0 JA - Intelligent Information and Database Systems, Asian Conference on ER - | |||
This paper evaluates the Neural Network AutoRegressive with eXogenous (NNARX) structure in modeling the steam distillation essential oil extraction. The model order will be selected based on Rissanen’s Minimum Description Length (MDL) information criterion. In the training of NNARX model, both unregularized and regularized models will be assessed. There are three regularization levels of the weight decay that will be implemented in this work. The number of hidden neuron and iteration will be optimized before the training session. The testing of the trained model will be based on R2, adjusted-R2, NMSE, RMSE, residual histogram and correlation tests. All results will be compared and evaluated with respect to the testing data.
Citation:
Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib, Yusof Md Salleh, "Black Box Modeling of Steam Distillation Essential Oil Extraction System Using NNARX Structure," aciids, pp.324-329, 2009 First Asian Conference on Intelligent Information and Database Systems, 2009
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