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.

引用

页码：75 / 81

页数：3

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