USE OF NEURAL NETS FOR DETERMINING THE SPINNABILITY OF FIBERS

被引：45

作者：

PYNCKELS, F

KIEKENS, P

SETTE, S

VANLANGENHOVE, L

IMPE, K

机构：

[1] STATE UNIV GHENT,DEPT TEXT,B-9000 GHENT,BELGIUM

[2] MINIST FLEMISH COMMUNITY,MERELBEKE,BELGIUM

来源：

JOURNAL OF THE TEXTILE INSTITUTE | 1995年 / 86卷 / 03期

关键词：

D O I：

10.1080/00405009508658769

中图分类号：

TB3 [工程材料学]; TS1 [纺织工业、染整工业];

学科分类号：

0805 ; 080502 ; 0821 ;

摘要：

It is very important for a spinner to be able to predict the degree of spinnability of a given fibre quality. Certain process conditions must be taken into account here. This paper describes how the spinnability of a given fibre quality on a rotor and ring spinning machine can be predicted with a reliability of 95% by means of a neural network. The structure and the characteristics of the neural net used wilt be considered in greater depth, and a simple method of implementation of such a neural net will be described.

引用

页码：425 / 437

页数：13