A Fault Diagnostic Method of Circuit Board Based on Magnetic Field Image and ANNs

基于磁场映像和人工神经网络的电路板故障诊断

Presently , the applications of ANNs to structural damage identification problems have attracted increasing attention .

目前人工神经网络应用于结构损伤识别的研究已越来越受到关注。

Artificial Neural Networks ( ANNs ) are parallel computational systems comprised of densely interconnected neurons .

人工神经网络（ANNs）是一个由大量相互连接的神经元组成的并行计算系统。

In this paper , ANNs are applied to study of the bandgap characteristic of DGS .

本文针对神经网络在DGS滤波特性中的应用进行了研究。

Recognition and forecasting are two of the basic functions of the ANNs .

识别和预测是人工神经网络的两大主要功能。