Artificial Neural Networks as Tools for Controlling Production Systems and Ensuring Their Stability

被引：0
|
作者：
Burduk, Anna [1 ]
机构：
[1] Wroclaw Univ Technol, PL-50370 Wroclaw, Poland
来源：
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2013 | 2013年 / 8104卷
关键词：
production system; production process stability; neural networks; ALGORITHM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Models of artificial neural networks can be used to control a production system, and thus to ensure its stability. Such models are very useful tools, because they can be built quickly and easily. The only issue is a large amount of data needed in the neural network training process. However, in the era of common availability of IT systems, the parameterization and standardization of production processes is not a problem anymore. Contemporary production systems are mostly automated and metered. This paper presents a method for building a model of an artificial neural network for controlling a wire harness production system and determining its stability.
引用
收藏
页码：487 / 498
页数：12
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