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ESANN
2004

Functional preprocessing for multilayer perceptrons

9 years 11 months ago
Functional preprocessing for multilayer perceptrons
In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessings that allow to consistently reduce the dimension of the data even when they have missing values. Preprocessed functions are then handled by a numerical MLP which approximates the theoretical functional MLP. A successful application to spectrometric data is proposed to illustrate the method.
Fabrice Rossi, Brieuc Conan-Guez
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Fabrice Rossi, Brieuc Conan-Guez
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