Classification of PCB configurations from radiated EMI by using neural network

Aunchaleevarapan, K.; Paithoonwatanakij, K.; Preampraneerach, Y.; Khan-Ngern, W.; Nitta, S.

doi:10.1109/CEEM.2000.853911

Classification of PCB configurations from radiated EMI by using neural network

Author(s)

Aunchaleevarapan, K.

Paithoonwatanakij, K.

Preampraneerach, Y.

Khan-Ngern, W.

Nitta, S.

Date Issued

January 1, 2000

Type

Conference Paper

DOI

10.1109/CEEM.2000.853911

Abstract

This paper presents a method of classifications of printed circuit board (PCB) with having several configuration by using neural network to recognized its spectrum. The learning process is accomplished by giving the neural network the different radiated emission spectra of 22 PCB configurations. The trained neural network is successfully able to predict the PCB configurations.

Citation

Ceem 2000 2nd Asia Pacific Conference on Environmental Electromagnetics Proceedings, 105-110, 2000