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本文分析了人工神经网络技术的发展及特点，结合其在陶瓷工业中的应用情况，包括窑炉温度场分布的预测、窑炉烧成中的工况辨识、ＰＴＣ材料性能识别、陶瓷缺陷的分析及耐火材料ＳｉＣ生产量的拟合预报等，阐述了人工神经网络技术在陶瓷工业有广阔的应用前景。
This article analyzes the development and characteristics of artificial neural network technology, combined with its application in the ceramic industry, including the prediction of the temperature field of the kiln, the identification of working conditions during the kiln firing, the identification of the PTC material, the analysis of the ceramic defects And the fitting prediction of refractory SiC production, etc., and expounds that Artificial Neural Network technology has broad application prospect in ceramic industry.