Hierarchical Neural Network Modeling for Infrared Spectra Interpretation of Modified Starches-Reference-Cited by-同舟云学术

Hierarchical Neural Network Modeling for Infrared Spectra Interpretation of Modified Starches

Published:1999-10-05 Issue:6 Volume:39 Page:1027-1036
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Dolmatova Ludmila¹,Tchistiakov Valery¹,Ruckebusch Cyril¹,Dupuy Nathalie¹,Huvenne Jean-Pierre¹,Legrand Pierre¹

Affiliation:

1. Laboratory of Computer-Aided Molecular Design, Institute of Physiologically Active Compounds, Russian Academy of Sciences, 142432 Chernogolovka, Russia, and Laboratoire de Spectrochimie Infrarouge et Raman, LASIR, CNRS, Bât. C5, Ecole Universitaire d'Ingénieurs de Lille, Université des Sciences et Technologies de Lille, 59655 Villeneuve d'Ascq Cedex, France

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci990442y

Reference33 articles.

1. Classification of Green Coffees by FT-IR Analysis of Dry Extract

2. Quantitative analysis of paper coatings using artificial neural networks

3. Identification of Modified Starches Using Infrared Spectroscopy and Artificial Neural Network Processing

4. Application of Spectrophotometric Titrations to Micromolar Solutions of Calcium, Magnesium, Oxalate, or Sulfate.

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