An approach to predict the 13C NMR chemical shifts of acrylonitrile copolymers using artificial neural network
- Author
- KAUR, Jaspreet1 ; BRAR, Ajaib S1
[1] Department of Chemistry, Indian Institute of Technology Delhi, New Delhi 110016, India - Source
European polymer journal. 2007, Vol 43, Num 1, pp 156-163, 8 p ; ref : 67 ref
- CODEN
- EUPJAG
- ISSN
- 0014-3057
- Scientific domain
- Polymers, paint and wood industries
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- 13C{1H} NMR chemical shift NMR Neural networks PLSR
- Keyword (fr)
- Acrylonitrile copolymère Analyse composante principale Carbone 13 Déplacement chimique Etude théorique Méthode calcul Réseau neuronal Spectre RMN
- Keyword (en)
- Acrylonitrile copolymer Principal component analysis Carbon 13 Chemical shift Theoretical study Computing method Neural network NMR spectrum
- Keyword (es)
- Acrilonitrilo copolímero Análisis componente principal Desplazamiento químico Estudio teórico Método cálculo Red neuronal Espectro de RMN
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D09 Physicochemistry of polymers / 001D09D Organic polymers / 001D09D04 Properties and characterization / 001D09D04K Structure, morphology and analysis
- Discipline
- Physical chemistry of polymers
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 18440945
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.eurpolymj.2006.09.014 
https://dx.doi.org/10.1016/j.eurpolymj.2006.09.014
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