摘要
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。
The multiobject optimization design of V-PTC material is carried out by artificial neural network(ANN)and pattern recognition. Usiiig both partial correlation index method and features variant op-timization method the technical parameters for samples with good properties are found out and some optimized samples are designed and synthesized.Their predicted properties are confirmed experimen-tally
出处
《功能材料与器件学报》
CAS
CSCD
1995年第2X期115-118,共4页
Journal of Functional Materials and Devices
关键词
V-PTC
神经网络
多目标优化
半导体材料
-PTC material
artificial neural network partial correlation index
multiobject optimization
