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 ,综述了神经网络在复合材料性能预测、工艺设计与优化。
Artificial neural network (ANN) is widely applied to the modeling of complex sy stems, and now it has become a common modeling method in the study of materials science. In this paper, BP-ANN and its important characters were introduced in b rief. The applications of ANN in the study of composites, such as properties pre diction, process design and optimization, damage prediction and failure detectio n were reviewed.
出处
《宇航计测技术》
CSCD
2003年第4期13-18,共6页
Journal of Astronautic Metrology and Measurement
基金
国家自然科学基金委员会。
