Neural networks for quality prediction and closed-loop quality control in automotive industry

被引：0
|
作者：
Schnerr, O [1 ]
Michaeli, W [1 ]
机构：
[1] IKV, Inst Plast Proc, Aachen, Germany
来源：
CONFERENCE PROCEEDINGS AT ANTEC '98: PLASTICS ON MY MIND, VOLS I-3: VOL I; PROCESSING, VOL II; SPECIAL AREAS, VOL III; MATERIALS | 1998年 / 44卷
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D O I：
暂无
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
The increasing development of artificial intelligence offers the wide field of neural networks for quality prediction and closed-loop quality control for the injection moulding process. With the opportunity of modelling nonlinear and time-variant dependencies with high accuracy neural networks are suitable for the automotive industry with its high specifications on quality characteristics. The time-variant behaviour of the injection moulding process is highly relevant for closed-loop quality control. It can be modelled by using specific neural network algorithms.
引用
收藏
页码：660 / 664
页数：5
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