LOCATION OF PLURAL DEFECTS IN CONDUCTIVE PLATES VIA NEURAL NETWORKS

被引：5

作者：

MORABITO, FC

CAMPOLO, M

机构：

[1] University of Reggio Calabria, Dipartimento di Ingegneria Elettronica e Matematica Applicata Via E. Cuzzocrea

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1995年 / 31卷 / 03期

关键词：

D O I：

10.1109/20.376378

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：

This paper treats an inverse electrostatic sample problem which is very similar to a real NonDestructive Testing (NDT) problem. The focus of the paper is on the use of an Artificial Neural Network (ANN) approach. The method here presented aims at detecting and characterising plural defects. The experimental results show the validity of the proposed processing.

引用

页码：1765 / 1768

页数：4

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