1 |
I.-S. Han, J. Jeong, B.-K. Kho, C. H. Choi, S. Yu, and H. K. Shin, "Development of a 25 kW-class PEM fuel cell system for the propulsion of a leisure boat", Trans. Korean Hydrogen & New Energy Society, Vol. 25, 2014, pp. 271-279.
DOI
|
2 |
A. Veziroglu and R. Macario, "Fuel cell vehicles: state of the art with economic and environmental concerns", Int. J. Hydrogen Energy, Vol. 36, 2011, pp. 25-43.
DOI
|
3 |
S.-K. Park, S.-Y. Choe, and S.-H. Choi, "Dynamic modeling and analysis of a shell-and-tube type gas-to-gas membrane humidifier for PEM fuel cell applications", Int. J. Hydrogen Energy, Vol. 33, 2008, pp. 2273-2282.
DOI
ScienceOn
|
4 |
A. Samimi, S. A. Mousavi, A. Moallemzadeh, R. Roostaazad, M. Hesampour, A. Pihlajamaki, and M. Manttari, "Preparation and characterization of PES and PSU membrane humidifiers", J. Membrane Sci., Vol. 383, 2011, pp. 197-205.
DOI
ScienceOn
|
5 |
S. Park and D. Jung, "Effect of operating parameters on dynamic response of water-to-gas membrane humidifier for proton exchange membrane fuel cell vehicle", Int. J. Hydrogen Energy, Vol. 38, 2013, pp. 7114-7125.
DOI
|
6 |
P. Geladi and B. Kowalski, "Partial least-squares regression: a tutorial", Analytica Chimica Acta, Vol. 185, 1986, pp. 1-17.
DOI
ScienceOn
|
7 |
M. Kim, Y.-H. Lee, I.-S. Han, and C. Han, "Clustering-based hybrid soft sensor for an industrial polypropylene process with grad change over operation", Ind. Eng. Chem. Res., Vol. 44, 2005, pp. 334-342.
DOI
|
8 |
D. Chen, W. Li, and H. Peng, "An experimental study and model validation of a membrane humidifier for PEM fuel cell humidification control", J. Power Sources, Vol. 180, 2008, pp. 461-467.
DOI
ScienceOn
|
9 |
S. Wold, M. Sjostrom, and L. Eriksson, "PLSregression: a basic tool of chemometrics", Chemometrics and Intelligent Laboratory Systems, Vol. 58, 2001, pp. 109-130.
DOI
ScienceOn
|
10 |
S. R. Gunn, "Support vector machines for classification and regression", University of Southampton, Southampton, UK. 1998.
|
11 |
I.-S. Han, C. Han, and C.-B. Chung, "Melt index modeling with support vector machines, partial least squares, and artificial neural networks", J. Applied Polymer Science, Vol. 95, 2004, pp. 967-974.
|
12 |
I.-S. Han, M. Kim, C.-H. Lee, W. Cha, B.-K. Ham, J.-H. Jeong, H. Lee, C.-B. Chung, and C. Han, "Application of partial least squares methods to a terephthalic acid manufacturing process for product quality control", Korean J. Chem. Eng., Vol. 20, 2003, pp. 977-984.
DOI
ScienceOn
|
13 |
I.-S. Han and C. Han, "Modeling of multistage air-compression systems in chemical processes", Ind. Eng, Chem. Res., Vol. 42, 2003, pp. 2209-2218.
DOI
ScienceOn
|
14 |
B. E. Bosen, I. M. Guyon, and V. N. Vapnik, "A training algorithm for optimal margin classifiers", Proceedings of th 5th Annual ACM Worshop on Computational Learning Theory, Pittsburgh, PA, 1992.
|
15 |
S. A. Kalogirou, "Artificial neural networks in renewable energy systems applications: a review", Renewable and Sustainable Energy Review, Vol. 5, 2001, pp 373-401.
DOI
|
16 |
L. Ljung, "System identification: theory for the user", Prentice Hall, New Jersey, USA, 1998.
|
17 |
C.-C. Chung, S.-F. Su, J.-T. Jeng, and C.-C. Hsiao, "Robust support vector regression networks for function approximation with outliers", IEEE Trans. Neural Networks, Vol. 13, 2002, pp 1322-1330.
DOI
|
18 |
I.-S. Han, Y.-H. Lee, and C. Han, "Modeling and optimization of the condensing steam turbine network of chemical plant", Ind. Eng. Chem. Res., Vol. 45, 2006, pp. 670-680.
DOI
|
19 |
Z. Zhong, X. Zhu, and G. Cao, "Modeling a PEMFC by a support vector machine", J. Power Sources, Vol. 160, 2006, pp. 293-298.
DOI
|
20 |
P. Kadlec, B. Gabrys, and S. Strandt, "Data-driven soft sensors in the process industry", Computers Chem. Eng., Vol. 33, 2009, pp. 795-814.
DOI
ScienceOn
|