ZrO_2-SiC材料中原位SiC生成量预报的神经网络模型

Prediction Model for in-situ SiC Contentin ZrO2-SiC Ceramics Using Artificial Neural Networks

研究了基于神经网络的ＺｒＯ２－ＳｉＣ材料中原位ＳｉＣ生成量预报模型，运用材料制备过程中的工艺参数，实现了ＳｉＣ生成量的预报。结果表明：本模型具有良好的预报效果。

The prediction model for in-situ silicon carbide in ZrO2-SiC ceramics was discussed based on artificial neural networks(ANN) in this paper.In-situ SiC content prediction was realized by the model using process parameters in the preparation of ZrO2-SiC ceramics.The results show that the model exhibits good effect and ANN is one of promising methods for quantitative prediction of materials properties.