NEURAL NETWORK MODEL FOR DESIGN RETRIEVAL IN MANUFACTURING SYSTEMS

被引：36

作者：

VENUGOPAL, V ^{[1
]}

NARENDRAN, TT ^{[1
]}

机构：

[1] INDIAN INST TECHNOL,DIV IND ENGN & MANAGEMENT,MADRAS 600036,TAMIL NADU,INDIA

来源：

COMPUTERS IN INDUSTRY | 1992年 / 20卷 / 01期

关键词：

DESIGN RETRIEVAL; GROUP TECHNOLOGY; ARTIFICIAL NEURAL NETWORK; HOPFIELD MODEL;

D O I：

10.1016/0166-3615(92)90124-6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Retrieval of old designs that meet current requirements on geometrical and/or technical information is a problem that is often encountered in batch manufacturing systems. This paper models the design retrieval system as a human associative memory. A neural network model, viz., the Hopfield net model, is used to develop a Design Retrieval System. The development of the model and its implementation are discussed using illustrative examples. The system has been verified with test cases on rotational as well as non-rotational parts.

引用

页码：11 / 23

页数：13

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