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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Variable Selection and Neural Networks

Variable Selection and Neural Networks

Benoudjit, Nabil

Paperback

Technology & Engineering

ISBN10: 383649504X
ISBN13: 9783836495042
Publisher: Vdm Verlag
Published: Apr 8 2008
Pages: 168
Weight: 0.51
Height: 0.36 Width: 6.00 Depth: 9.00
Language: English
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.

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