[article]
| Titre : |
A comparative study of polynomial and neural network modelling for the optimisation of clear coat formulations |
| Type de document : |
texte imprimé |
| Auteurs : |
L. Tusar, Auteur ; M. Tusar, Auteur ; N. Leskovsek, Auteur |
| Année de publication : |
1995 |
| Article en page(s) : |
p. 427-434 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Tags : |
Vernis Formulation Modélisation 'Plan expérience' 'Réseau neuronal' 'Méthode polynomiale' 'Etude comparative' |
| Index. décimale : |
667.9 Revêtements et enduits |
| Résumé : |
A clear coat is a complex mixture of mutually interacting components, usually formulated for a specific application or to meet the specific demands of the customer. Nowadays, the demands of the market, as well as the restrictions due to the ecological considerations, are more and more rigorous. Thus, all of the properties of a given product must comply with such requirements and regulations. Among possible methods for achieving an appropriate level of quality for the product, for example certain clear coats, are those of experimental design and modelling. The quality of a clear coat, measured on the basis of its properties is determined by the composition of raw materials and variables of the production process. These methods enable a simulation of the behaviour of the system, for selected variables, on the basis of the typical points and the proper model. |
| Note de contenu : |
- Optimisation of the structure of the neural network
- Neural network and polynomial modelling
- Determination of the optimal formulation of a clear coat |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=17001 |
in SURFACE COATINGS INTERNATIONAL > Vol. 78, N° 10 (10/1995) . - p. 427-434
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