人工神经网络因能处理复杂的非线性问题而成为材料科学研究的一种重要方法.在介绍BP神经网络的基础上,综述了其在复合材料设计、工艺优化、性能预测、损伤检测及预测等方面的应用情况,分析了应用中存在的问题,展望了其发展趋势.
Artificial neural networks(ANN) is an important method for materials science research owing to its advantage on dealing with complicated non-linear problems. BP neural networks(BPNN) is introduced in brief. Its applications in composites research, such as composites design, process optimization, properties prediction, damage prediction and failure detection and so on are reviewed. The existing problems in applications are analyzed and the application prospect of BPNN is described, respectively.
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