Applications of neural networks for grading textile yarns

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > journal & Dissertation > Item 987654321/30822

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/30822

Title:	Applications of neural networks for grading textile yarns
Authors:	Lien,HC;Lee,S
Contributors:	機械工程研究所
Keywords:	CLASSIFICATION
Date:	2004
Issue Date:	2010-07-06 16:28:09 (UTC+8)
Publisher:	中央大學
Abstract:	The grade of textile yarns is an important index in evaluating the yarn's market value. This paper uses the backpropagation neural network (BNN) and Karhunen-Loeve (K-L) expansion method to construct a new and highly accurate grading system. Outcomes show
Relation:	NEURAL COMPUTING & APPLICATIONS
Appears in Collections:	[機械工程研究所] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	231	View/Open

社群 sharing