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Metamodeling: Radial basis functions, versus polynomials

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  • Hussain, Mohammed F.
  • Barton, Russel R.
  • Joshi, Sanjay B.

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  • Hussain, Mohammed F. & Barton, Russel R. & Joshi, Sanjay B., 2002. "Metamodeling: Radial basis functions, versus polynomials," European Journal of Operational Research, Elsevier, vol. 138(1), pages 142-154, April.
    • Handle: RePEc:eee:ejores:v:138:y:2002:i:1:p:142-154
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    References listed on IDEAS

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    1. Raviprakash Salagame & Russell Barton, 1997. "Factorial hypercube designs for spatial correlation regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(4), pages 453-474.
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    1. Colas, Floriane & Gauchi, Jean-Pierre & Villerd, Jean & Colbach, Nathalie, 2021. "Simplifying a complex computer model: Sensitivity analysis and metamodelling of an 3D individual-based crop-weed canopy model," Ecological Modelling, Elsevier, vol. 454(C).
    2. Zhang, Jie & Chowdhury, Souma & Messac, Achille & Castillo, Luciano, 2012. "A Response Surface-Based Cost Model for Wind Farm Design," Energy Policy, Elsevier, vol. 42(C), pages 538-550.
    3. Nariman Fouladinejad & Nima Fouladinejad & Mohamad Kasim Abdul Jalil & Jamaludin Mohd Taib, 2017. "Decomposition-Assisted Computational Technique Based on Surrogate Modeling for Real-Time Simulations," Complexity, Hindawi, vol. 2017, pages 1-14, March.
    4. Shang, Linmei & Wang, Jifeng & Schäfer, David & Heckelei, Thomas & Gall, Juergen & Appel, Franziska & Storm, Hugo, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 75(1), pages 235-260.
    5. Poropudas, Jirka & Virtanen, Kai, 2011. "Simulation metamodeling with dynamic Bayesian networks," European Journal of Operational Research, Elsevier, vol. 214(3), pages 644-655, November.
    6. Scott L. Rosen & Christopher P. Saunders & Samar K Guharay, 2015. "A Structured Approach for Rapidly Mapping Multilevel System Measures via Simulation Metamodeling," Systems Engineering, John Wiley & Sons, vol. 18(1), pages 87-101, January.
    7. Linmei Shang & Jifeng Wang & David Schäfer & Thomas Heckelei & Juergen Gall & Franziska Appel & Hugo Storm, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 235-260, February.
    8. Seidel, Claudia & Shang, Linmei & Britz, Wolfgang, 2023. "A critical assessment of neural networks as meta-model of a farm optimization model," Discussion Papers 338200, University of Bonn, Institute for Food and Resource Economics.
    9. Kleijnen, J.P.C., 2006. "Regression Models and Experimental Designs : A Tutorial for Simulation Analaysts," Other publications TiSEM 7b8ecddb-f49e-4b80-865b-a, Tilburg University, School of Economics and Management.
    10. Humbert, Gabriele & Ding, Yulong & Sciacovelli, Adriano, 2022. "Combined enhancement of thermal and chemical performance of closed thermochemical energy storage system by optimized tree-like heat exchanger structures," Applied Energy, Elsevier, vol. 311(C).
    11. Mert Edali & Gönenç Yücel, 2020. "Analysis of an individual‐based influenza epidemic model using random forest metamodels and adaptive sequential sampling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 936-958, November.

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