用人工神经网络进行材料设计已取得了可喜的进展 ,本文回顾了人工神经网络应用于材料制备工艺研究时的一些共性问题 ,如 :样本筛选、网络结构的确定、加快网络训练速度、改善网络预测效果、最优工艺参数的确定等 ,并给出相应的解决办法 Artificial neural network for material design has made encouraging progress. This article reviews some common problems when applying artificial neural network to the research of material preparation process, such as sample screening, determination of network structure, speeding up of network training and improvement of network prediction Effect, the determination of the optimum process parameters, and gives the corresponding solution