基于神经网络的热粘塑性材料本构关系的建立

以高温热压缩实验数据为基础，采用人工神经网络建立热粘塑性材料的本构关系，实例证明：这一网络不仅可满足工程应用的需要，还能为塑性加工智能仿真提供准确的原始信息。

ESTABLISHMENT OF CONSTITUTIVE RELATION OF THERMAL VISCOPLASTIC MATERIAL ON THE BASIS OF ANN

On the basis of datum from the high temperature compress tests the constitutive relation of thermal viscoplastic material is established in the shape of artificial neural network. It is proved by practical results that this network not only satisfies the engineering requirements,but also provides accurate initial information for intelligent simulation of the plastic working.