摘要
概括了人工神经网络的学习机理以及运用较多的BP神经网络模型的BP算法原理,进一步综述了人工神经网络在钛合金材料高温变形行为研究、力学性能预测和相变规律等方面的应用情况。认为将人工神经网络技术应用于钛合金材料领域中,可以明显地提高工艺设计效率,缩短实验周期,对钛合金材料的研究具有很高的应用价值和深远的指导意义。
The learning mechanism of artificial neural network（ANN） and BP algorithm of BP neural network model were summarized,and the application of the network in some aspects of high temperature deformation behavior,mechanical properties and phase transformation were discussed. It is believed that with the help of wide application of ANN in the field of titanium alloy,the efficiency and cycle of the experiment can be obviously improved,which has far-reaching significance for the study of titanium alloys.
出处
《热加工工艺》
CSCD
北大核心
2010年第6期21-24,32,共5页
Hot Working Technology
基金
国家"973"计划(2007CB613807)
新世纪优秀人才支持计划(NCET-07-0696)
凝固技术国家重点实验室开放课题(35-TP-2009)
关键词
人工神经网络
钛合金
高温变形
相变规律
artificial neural network
titanium alloy
high temperature deformation
phase transformation
