摘要
本文简要介绍了人工神经网络方法的基本原理,报道了应用神经网络方法进行材料性能分类与预测的结果.说明本方法对于新材料性能的预测具有一定的可靠性.作者还将神经网络方法用于化工过程的故障诊断,同样获得了令人鼓舞的结果.
In this paper,the basic principles of artificial neural networks(ANN)was briefly described.The ANN method was successfully applied to the classification and prediction of material properties.For the fault diagnosis of chemical process,the ANN method also obtained satisfactory results.It was concluded that the ANN method may become a powerful tool for solving complicated material and engineering problems.
出处
《化工冶金》
CSCD
北大核心
1993年第1期57-62,共6页
基金
国家自然科学基金资助课题
关键词
人工神经网络
材料设计
化工过程
Artificial neural networks
Material design
Chemical process
Fault diagnosis
