人工神经网络多目标法用于辅助V-PTC材料研制

V-PTC MATEHIAL AIDED DESIGN BASED ON ANN MULTIOBJECT METHOD

  • 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。

     

    Abstract: 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 optimization 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 experimentally.

     

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