A comparison of factorial and random experimental design methods for the development of regression and neural network simulation metamodels
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DOI: 10.1057/palgrave.jors.2600812
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Cited by:
- Hachicha, Wafik & Ammeri, Ahmed & Masmoudi, Faouzi & Chachoub, Habib, 2010. "A comprehensive literature classification of simulation optimisation methods," MPRA Paper 27652, University Library of Munich, Germany.
- Batmaz, Inci & Tunali, Semra, 2003. "Small response surface designs for metamodel estimation," European Journal of Operational Research, Elsevier, vol. 145(2), pages 455-470, March.
- Mostafa, Mohamed M. & Nataraajan, Rajan, 2009. "A neuro-computational intelligence analysis of the ecological footprint of nations," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3516-3531, July.
- B Dengiz & C Alabas-Uslu & O Dengiz, 2009. "Optimization of manufacturing systems using a neural network metamodel with a new training approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1191-1197, September.
- Mach Ćukasz, 2017. "The Application of Classical and Neural Regression Models for the Valuation of Residential Real Estate," Folia Oeconomica Stetinensia, Sciendo, vol. 17(1), pages 44-56, June.
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Keywords
simulation metamodels; experimental design; regression; neural networks;All these keywords.
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