运用RBF神经网络设计复合材料界面性能

Designing interfacial property of composite material by RBF neural network

提出一种设计碳纤维织物/环氧复合材料界面性能的新方法。利用径向基函数神经网络,建立起工艺参数与复合材料界面性能的关系模型,同时给出实例来验证此方法的有效性。

This paper presented a new method suitable for designing interfacial property of carbon fiber braid/ epoxy composite. A relationship model between technological parameters and interfacial properties of the composites was set up by a radial basis function neural network. The practical application proved the effectiveness of this method.