基于BP神经网络的陶瓷产品质量检验专家系统

Porcelain quality diagnose Expert System based on BP Neural Networks

介绍一种对陶瓷产品质量进行检验的神经网络专家系统。选用快速傅立叶变换 (FFT)进行特征提取 ,应用专家列表法进行特征参数确定 。

We develop a Neural Network based Expert System for porcelain quality diagnose. Fast Fourier Transform is used to collect the characters. Method of expert list is used to determine the character parameters, and BP Neural Networks is employed for status identification.