Variable Selection and Neural Networks (Paperback) (ISBN-13: 9783836495042)

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 wave-lengths 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 incre-mental 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 va-riables to select the first one; then the previous incremental method (step-by-step) is used to select the next variables.

Author: Nabil Benoudjit
ISBN-10: 383649504X
ISBN-13: 9783836495042
Publisher: VDM Verlag Dr. Mueller E.K.
Language: English
Published: 04/08/2008
Pages: 168
Format: Paperback
Weight: 0.51lbs
Size: 9.00h x 6.00w x 0.36d