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Proc. ASME. IDETC-CIE2021, Volume 5: 26th Design for Manufacturing and the Life Cycle Conference (DFMLC), V005T05A012, August 17–19, 2021
Paper No: DETC2021-71333
... of class k devices are used as the case study. The main challenge Variances of class k resides in using the limited attributes of the dataset to 2 Nonlinear function forecast product failure type. First, a multilayer perceptron Weight of support vector machine (MLP) algorithm is used as a regression...
Proc. ASME. IDETC-CIE2000, Volume 2: 26th Design Automation Conference, 773-780, September 10–13, 2000
Paper No: DETC2000/DAC-14282
... experiment design construction strategies for simultaneously fitting forward and inverse approximation models, using the commonly applied measure of D-optimality . design of experiments metamodels regression inverse design Proceedings of DETC'OO ASME 2000 Design Engineering Technical Conferences...
Proc. ASME. IDETC-CIE2013, Volume 4: 18th Design for Manufacturing and the Life Cycle Conference; 2013 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications, V004T05A021, August 4–7, 2013
Paper No: DETC2013-13606
... on the adequacy of linear regression models and other non-linear models such as parallel and serial tree-based ensembles for prediction the FDA s decision time. Keywords: Medical Devices, Regulations, Design for FDA, Regression INTRODUCTION The right timing for market introduction can easily become the key...
Proc. ASME. IDETC-CIE2011, Volume 2: 31st Computers and Information in Engineering Conference, Parts A and B, 1063-1075, August 28–31, 2011
Paper No: DETC2011-48365
... that a support vector domain description-based method provides the best combination of these traits for this example. Keywords: complex systems design, technology comparison, support vector domain description, regression, interpolation, parameterized Pareto dominance, technology characterization, abstraction 1...
Proc. ASME. IDETC-CIE2010, Volume 1: 36th Design Automation Conference, Parts A and B, 599-609, August 15–18, 2010
Paper No: DETC2010-28958
...: approximation, regression, interpolation, metamodel, response surface, prediction, RBF-HDMR, functional form, black-box function 1 INTRODUCTION Metamodeling techniques find a wide use in engineering. These uses include getting insight into a complex system and supporting simulation-based optimization...
Proc. ASME. IDETC-CIE2009, Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B, 9-20, August 30–September 2, 2009
Paper No: DETC2009-86330
... data and the approximate data using Bezier function are the same. Large orders of polynomials can be used without significant distortion in the approximation. Bezier function data analysis data approximation data transformation regression MATLAB 1 Proceedings of the ASME 2008...
Proc. ASME. IDETC-CIE2008, Volume 1: 34th Design Automation Conference, Parts A and B, 693-700, August 3–6, 2008
Paper No: DETC2008-49708
... correlated. From every cluster only one representing point is selected for inspection. In this paper the method is further developed and multiple linear regression is used for evaluating how much of the information that is lost when discarding an inspection point. The information loss can be quantified using...
Proc. ASME. IDETC-CIE2008, Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B, 463-473, August 3–6, 2008
Paper No: DETC2008-49101
... data to recover principal data behavior. Bezier function Bernstein polynomials data analysis data approximation data transformation regression MATLAB Proceedings of the ASME 2008 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference...
Proc. ASME. IDETC-CIE2002, Volume 1: 22nd Computers and Information in Engineering Conference, 129-136, September 29–October 2, 2002
Paper No: DETC2002/CIE-34399
... in Engineering Conference ontreal, Canada, September 29-October 2, 2002 DETC2002/CIE-34399 regression task, all the output values are combined e corresponding class value. For a multi-class prob- result in very different associations compared with between the output of the model and the corre- ss...