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人工神经网络在材料性能研究中的应用
引用本文:徐文峰,廖晓玲,刘希东. 人工神经网络在材料性能研究中的应用[J]. 材料导报, 2006, 20(Z2): 237-240,257
作者姓名:徐文峰  廖晓玲  刘希东
作者单位:重庆文理学院化学与环境科学系,重庆,402160
摘    要:
人工神经网络技术广泛应用于复杂系统的建模中,已成为材料科学研究中常用的建模方法.介绍了BP神经网络及其建模的重要特征,综述了神经网络技术在材料性能预测方面的研究情况.

关 键 词:材料  人工神经网络  性能

Application of Artificial Neural Network in the Study of Material Properties
XU Wenfeng,LIAO Xiaoling,LIU Xidong. Application of Artificial Neural Network in the Study of Material Properties[J]. Materials Review, 2006, 20(Z2): 237-240,257
Authors:XU Wenfeng  LIAO Xiaoling  LIU Xidong
Abstract:
Artificial neural network (ANN) is widely applied to the modeling of complex systems, and now it has become a common modeling method in the study of materials science. In this paper, BP-ANN and its important characters are introduced in brief. The applications of ANN in the study of material, such as properties prediction, damage prediction and failure detection are reviewed.
Keywords:material  artificial neural network  property
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