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Variable Selection and Neural Networks

by Nabil Benoudjit
Save 12% Save 12%
Current price ₹6,269.00
Original price ₹7,140.00
Original price ₹7,140.00
Original price ₹7,140.00
(-12%)
₹6,269.00
Current price ₹6,269.00

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Book cover type: Paperback
  • ISBN13: 9783836495042
  • Binding: Paperback
  • Subject: N/A
  • Publisher: VDM Verlag Dr. Mueller E.K.
  • Publisher Imprint: VDM Verlag Dr. Mueller E.K.
  • Publication Date:
  • Pages: 168
  • Original Price: GBP 56.44
  • Language: English
  • Edition: N/A
  • Item Weight: 232 grams
  • BISAC Subject(s): Engineering (General)

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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