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Keywords: response surface methodologyClose
Proc. ASME. DETC97, Volume 3: 9th International Design Theory and Methodology Conference, V003T30A008, September 14–17, 1997
Paper No: DETC97/DTM-3881
... including regression, neural networks, inductive learning, and kriging. We conclude Section 2 with an introduction to the general statistical approaches of response surface methodology and Taguchi s robust design. In Section 3 we describe the engineering design context for statistical applications, review...
Proc. ASME. DETC97, Volume 2: 23rd Design Automation Conference, V002T29A044, September 14–17, 1997
Paper No: DETC97/DAC-3962
... progresses, the analysis of ecosystems will become more complex, increasing the need for design at the system level to be addressed with tools such as the RCEM. industrial ecology robust design system dynamics response surface methodology decision support problem ME Proceedings of DETC'97 1997...
Proc. ASME. DETC97, Volume 2: 23rd Design Automation Conference, V002T29A012, September 14–17, 1997
Paper No: DETC97/DAC-3961
... is on the method rather than the results per se. multicriteria optimization structural design design-of-experiments response surface methodology compromise decision support problem (DSP) Proceedings of DETC 97: 1997 ASME Design Engineering Technical Conferences September 14-17, 1997, Sacramento...
Proc. ASME. DETC99, Volume 1: 25th Design Automation Conference, 139-147, September 12–16, 1999
Paper No: DETC99/DAC-8635
...Abstract Abstract In this study, to find the global optimum efficiently, holographic neural network is introduced to be an activate function of response surface methodology. Since the accuracy of approximation function near the global optimal design is merely important, techniques to search...
Proc. ASME. IDETC-CIE2020, Volume 11A: 46th Design Automation Conference (DAC), V11AT11A056, August 17–19, 2020
Paper No: DETC2020-22564
...., 2017. Design of computer experiments: A review . Computers Chemical Engineering, 106, pp. 71 95.  Montgomery, D. C., and Myers, R. H., 1995. Response surface methodology: process and product optimization us- ing designed experiments . Raymond H. Meyers and Dou- glas C. Montgomery. A Wiley...
Proc. ASME. IDETC-CIE2005, Volume 2: 31st Design Automation Conference, Parts A and B, 437-446, September 24–28, 2005
Paper No: DETC2005-85486
... are synergistic, meaning that when main effects are used to increase the system response, the interaction provides an additional increase. The potential implications for robust design are discussed. Design of Experiments Robust Design Response Surface Methodology Proceedings of IDETC/CIE 2005 lixiang...