摘要
建立了预测复相陶瓷力学性能的回归分析模型和人工神经网络模型 ,预测值与试验结果较为相符 ,模型可加快新材料的开发过程。分析了两种模型的利弊及适用条件 。
Mechanical properties of multi-phase structural ceramics are important parameters to evaluate the properties of ceramic materials. Regressive model and artificial neural network are established to predict the mechanical properties. The predicting results agree well with the experimental data so that these two models can quicken the pace of developing new ceramic materials. The merits and demerits of the two models are compared respectively, thus they must be carefully chosen according to the engineering application.
出处
《济南大学学报（自然科学版）》
CAS
2002年第2期111-114,共4页
Journal of University of Jinan(Science and Technology)
基金
国家自然科学基金 ( 5 980 5 0 12 )
山东省自然科学基金 (Q97F0 9115 )
关键词
复相陶瓷
回归分析
人工神经网络
multi-phase ceramics
regressive analyses
artificial neural network
