采用人工神经网络方法进行Ｖ－ＰＴＣ材料设计的多目标优化。应用偏相关指数和目标拟合变量的方法探寻具有较好性能样品的工艺条件和配方参数，并据此设计合成了数个优化样本，经实验测试达到了设计要求。 Multi-objective optimization of V-PTC material design using artificial neural network. The partial correlation index and the target fitting variables were used to explore the process parameters and formulation parameters of the samples with good performance. Several optimization samples were designed and synthesized, and the design requirements were met through the experimental tests.