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

页码：487 / 498

页数：12

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