人工神经网络在GMT材料设计中的应用研究

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN GMT MATERIAL DESIGN

本文在试验数据的基础上 ,利用人工神经网络建立了湿法成型GMT材料中纤维含量及助剂用量与其力学性能对应关系的模型 ,得出了具有较高力学性能的材料组分数据 。

This paper sets up a model for the relationship of fiber concentration and aids content in GMT material design and strength of its end product throught artificial neural network and experiment data. The data of each element content of GMT material that have optimized mechanical property are obained and the efficiency of experiment work is improved.