International Society of Science and Applied Technologies |
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Multiresponse Optimization: An Exploratory Study with Gaussian Process Model | ||||
Author | Nuno Costa
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Co-Author(s) | João Lourenço
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Abstract | To optimize multiple quality characteristics of process and product is a frequent problem in industry, and Ordinary Least Squares is the most popular technique for fitting models to responses. However, recent advances in computational power, the need to better understand and improve systems (processes and products) as well as to solve new and increasingly complex real-life problems have impelled researchers to develop and use a large variety of regression techniques. This article explores the usefulness of Gaussian Process model in the Response Surface Methodology framework, using a classical example from the literature. Results provide evidence that Gaussian Process model is an alternative to popular Ordinary Least Squares modeling technique.
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Keywords | Covariance, Experiments, Modeling, OLS, Regression, RSM | |||
Article #: 20151 |
August 7-9, 2014 - Seattle, Washington, U.S.A. |