Cantitate/Preț
Produs

Variable selection and neural networks

Autor Nabil Benoudjit
de Limba Germană Paperback – 12 noi 2013
This book focuses particularly on the application of chemometrics in the field of analytical chemistry. In infrared spectroscopy for instance, chemometrics consists in the prediction of a quantitative variable (the obtention of which is delicate, requiring a chemical analysis and a qualified operator), such as the concentration of a component present in the studied product from spectral data measured on various wavelengths or wavenumbers. In this book the author proposes a methodology in the field of chemometrics to handle the spectrophotometric data which are often represented in high dimension. To handle these data, a new incremental method (step-by-step) is proposed for the selection of spectral data using linear and non-linear regression. The author proposes, also, to improve the previous method by a judicious choice of the first selected variable, which has a very important influence on the final performances of the prediction. The idea is to use a measure of the mutual information between the independent and dependent variables to select the first one; then the previous incremental method (step-by-step) is used to select the next variables.
Citește tot Restrânge

Preț: 40439 lei

Preț vechi: 43955 lei
-8% Nou

Puncte Express: 607

Preț estimativ în valută:
7739 8039$ 6429£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783836495042
ISBN-10: 383649504X
Pagini: 168
Dimensiuni: 151 x 220 x 17 mm
Greutate: 0.23 kg
Editura: VDM Verlag Dr. Müller e.K.

Notă biografică

Nabil Benoudjit received the Ph.D. degree in electrical engineering from the Université catholique de Louvain (Belgium) in 2003. He is now a Lecturer at the University of Batna (Algeria). He teaches pattern recognition, signal processing and artificial neural networks. His research interests are in the area of high-dimensional data analysis.