The evaluation of leather handle character using neural networks / Huang Xun in JOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC), Vol. 91, N° 4 (07-08/2007)  

[article]  inJOURNAL OF THE SOCIETY OF LEATHER TECHNOLOGISTS & CHEMISTS (JSLTC) > Vol. 91, N° 4 (07-08/2007) . - p. 172-174 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 [article]

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