کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1180986 1491572 2006 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
چکیده انگلیسی

Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of variables than the initial one. Indeed, a too large number of input variables to a model results in a too large number of parameters, leading to overfitting and poor generalization abilities. In this paper, we suggest the use of the mutual information measure to select variables from the initial set. The mutual information measures the information content in input variables with respect to the model output, without making any assumption on the model that will be used; it is thus suitable for nonlinear modelling. In addition, it leads to the selection of variables among the initial set, and not to linear or nonlinear combinations of them. Without decreasing the model performances compared to other variable projection methods, it allows therefore a greater interpretability of the results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 80, Issue 2, 15 February 2006, Pages 215–226
نویسندگان
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