Interpretation of non-linear empirical data-based process models using global sensitivity analysis
نویسندگان
چکیده
منابع مشابه
Interpretation of non-linear empirical data-based process models using global sensitivity analysis
Flexible non-linear regression techniques have been widely used for data-based modeling of chemical processes, and they form the basis of process design under the framework of response surface methodology (RSM). These non-linear models typically achieve more accurate approximation to the factor-response relationship than traditional polynomial regressions. However, non-linear models usually lac...
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ژورنال
عنوان ژورنال: Chemometrics and Intelligent Laboratory Systems
سال: 2011
ISSN: 0169-7439
DOI: 10.1016/j.chemolab.2011.02.006