人工神经网络在材料开发中的应用研究进展  

Research Progress on Application of Artificial Neural Network in Material Development

作　　者：于志省 李应成 王宇遥 沈志刚 白瑜 苏智青 王洪学 Yu Zhixing;Li Yingcheng;Wang Yuyao;Shen Zhigang;Bai Yu;Su Zhiqing;Wang Hongxue(R&D Division for Synthetic Polymers,Sinopec Shanghai Research Institute of Petrochemical Technology Co.,Ltd.,Shanghai 201208,China)

机构地区：[1]中石化(上海)石油化工研究院有限公司合成材料研究所,上海201208

出　　处：《工程塑料应用》2023年第2期158-164,共7页Engineering Plastics Application

基　　金：中国石油化工股份有限公司项目(218024-9,421074-1)。

摘　　要：介绍了人工神经网络(ANN)的发展历程、模型特性与分类,以及反向传播(BP)神经网络模型及其改进算法,重点论述了ANN在高分子聚合反应过程和质量控制、成型加工工艺设计与条件优化、材料使用与服役性能预测方面的应用进展,以及在辅助性能表征与分析等方面的应用研究状况,并指出了ANN在未来新材料开发中应用的发展方向和亟待解决的问题。The development history,model characteristics and classification of artificial neural network(ANN)were introduced.The back propagation(BP)neural network model and the improved algorithms were discussed.The application progress of ANN in the polymerization reaction process and the quality control of polymer,the design of molding process and the optimization of conditions,as well as the use of material and the prediction of service performances were emphatically reviewed.Besides,the application research status of ANN in auxiliary performance characterization and analysis were described.Finally,the development direction and urgent problems of ANN application in the future development of new materials were pointed out.

关 键 词：人工神经网络 反向传播网络 质量控制 性能预测 优化设计 新材料开发 

分 类 号：TQ327.8[化学工程—合成树脂塑料工业]