Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
- Author
- AGATONOVIC-KUSTRIN, S1 ; BERESFORD, R1
[1] School of Pharmacy, University of Otago, PO Box 913, Dunedin, New Zealand - Source
Journal of pharmaceutical and biomedical analysis. 2000, Vol 22, Num 5, pp 717-727 ; ref : 44 ref
- CODEN
- JPBADA
- ISSN
- 0731-7085
- Scientific domain
- Medical laboratory techniques; Pharmacology drugs
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse composante principale Article synthèse Conception assistée Encéphale Etude comparative Industrie pharmaceutique Modèle Modélisation Recherche développement Réseau neuronal Système nerveux central
- Keyword (en)
- Principal component analysis Review Computer aided design Brain (vertebrata) Comparative study Pharmaceutical industry Models Modeling Research and development Neural network Central nervous system
- Keyword (es)
- Análisis componente principal Artículo síntesis Concepción asistida Encéfalo Estudio comparativo Industria farmacéutica Modelo Modelización Investigación desarrollo Red neuronal Sistema nervioso central
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A25 Vertebrates: nervous system and sense organs / 002A25A General aspects. Models. Methods
- Discipline
- Vertebrates : nervous system and sense organs
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1334649
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/S0731-7085(99)00272-1 
https://dx.doi.org/10.1016/S0731-7085(99)00272-1
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