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本文根据在材料设计和性能预测中应用最多的BP型人工神经网络理论，分析了BP型神经网络结构特点及有关训练参数的选择原则，为人工神经网络理论在材料的设计和性能的预测上的应用提供依据。
Based on the theory of BP artificial neural network which is the most used in material design and performance prediction, this paper analyzes the structural characteristics of BP neural network and the selection principle of the relevant training parameters. In order to predict the design and performance of artificial neural network Application basis.