Titre : |
The evaluation of leather handle character using neural networks |
Type de document : |
texte imprimé |
Auteurs : |
Huang Xun, Auteur ; Zhang Xiaolei, Auteur ; Wang Mengxiao, Auteur ; Yong Zhang, Auteur |
Année de publication : |
2007 |
Article en page(s) : |
p. 172-174 |
Note générale : |
Bibliogr. |
Langues : |
Anglais (eng) |
Index. décimale : |
675 Technologie du cuir et de la fourrure |
Résumé : |
Leathers handle and character has been evaluated and classified using an artificial neural network (ANN). Experimental mechanical parameters correlated to elasticity, softness, fullness and extensibility were obtained. The feed-forward neural network used provided accurate modelling between the input parameters, bend constant (Kb) ; compression index (Kc); lastometer coefficient (Kl) ; attenuation constant (αb); attenuation speed constant (K ́) and the output parameter (leather’s handle and graded character). Although only a small number of experimental data were used in training the neural network, the results obtained are comparable to the results of evaluations done by the traditional method. |
Note de contenu : |
- Artificial neural network
- Leather handle character evaluation using ANN
- Table 1 : Training set for ANN of leather handle character
- Table 2 : Test samples and test results of ANN |
En ligne : |
https://drive.google.com/file/d/1uyenkakt1cue5UGgD1ktKP_NZKnK5A98/view?usp=share [...] |
Format de la ressource électronique : |
Pdf |
Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=39025 |
in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC) > Vol. 91, N° 4 (07-08/2007) . - p. 172-174