APPLICATIONS OF NEURAL NETWORKS IN MANUFACTURING - A STATE-OF-THE-ART SURVEY

被引：141

作者：

ZHANG, HC

HUANG, SH

机构：

[1] Department oflndustrial Engineering, Texas Tech University, Lubbock, TX

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1995年 / 33卷 / 03期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1080/00207549508930175

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Artificial intelligence has been claimed to yield revolutionary advances in manufacturing. While most of the survey papers about artificial intelligence in manufacturing have been focused on knowledge-based expert systems, fewer attentions have been paid to neural networks. However, neural networks are able to learn, adapt to changes, and can mimic human thought processes with little human interventions. They could be of great help for the present computer-integrated manufacturing and the future intelligent manufacturing systems. This paper presents a state-of-the-art survey of neural network applications in manufacturing. The objective of this paper is to update information about the applications of neural networks in manufacturing, which will provide some guidelines and references for the research and implementation.

引用

页码：705 / 728

页数：24

共 113 条

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