Modelling of explosive cutting process of plates using GMDH-type neural network and singular value decomposition

被引：69
作者：
Nariman-zadeh, N [1 ]
Darvizeh, A [1 ]
Darvizeh, A [1 ]
Gharababaei, H [1 ]
机构：
[1] Guilan Univ, Fac Engn, Dept Mech Engn, Rasht, Iran
来源：
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2002年 / 128卷 / 1-3期
关键词：
explosive cutting process; group method of data handling; singular value decomposition;
D O I：
10.1016/S0924-0136(02)00264-9
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Group method of data handling (GMDH)-type neural networks are used for modelling of explosive cutting process of plates by shaped charges. The aim of such modelling is to show how the depth of penetration varies with the variation of important parameters. It is also demonstrated that singular value decomposition (SVD) can be effectively used to find the vector of coefficients of a quadratic sub-expression embodied in such GMDH-type networks. Such application of SVD will highly improve the performance of GMDH-type networks to model the very complex process of explosive cutting of plates by shaped charges. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：80 / 87
页数：8
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