A multilayer perceptron approach to a non-destructive test problem

被引：0
|
作者：
Burrascano, P [1 ]
Cardelli, E [1 ]
Faba, A [1 ]
Fiori, S [1 ]
Massinelli, A [1 ]
机构：
[1] Univ Perugia, Dept Ind Engn, I-06100 Perugia, Italy
来源：
ELECTROMAGNETIC NONDESTRUCTIVE EVALUATION (V) | 2001年 / 21卷
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The aim of this paper is to present a neural-network based solution to a non-destructive test problem, namely the identification of the diameter of a cylindrical defect, on a metallic slab, by means of multi-layer perceptron based modeling of the complex interaction between the metallic slab and the electromagnetic probe. We propose to train a network by means of a consistent data-set obtained by real-world (measured) data, labeled with the defect diameters, and to successively apply the learnt network to the estimation of the dimension of a set of unknown defects.
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页码：75 / 81
页数：3
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