Using SHPB technique and a BP neural network program, the constitutive model of polymers at high strain rates is identified.
利用SHPB技术和自编的BP神经网络程序，以尼龙为代表性研究对象，对高聚物在高应变率下的本构模型进行了辨识。
Melamine could polymerized with other polymers to form crosslinked network structure, which could improve the strength, toughness and flame retardance and other properties.
三聚氰胺可以和其它聚合物发生聚合反应，形成立体网状结构，提高聚合物的强度、韧性、阻燃性等。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
用前馈多层神经网络方法研究了高聚物的热力学性质。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
用前馈多层神经网络方法研究了高聚物的热力学性质。
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