The order assumption in CJ and ZND models, which considers all particles of detonation products march orderly in one direction, implies low entropy and thermodynamic non-equilibrium.
CJ和ZND模型中的有序假设，即爆轰产物粒子朝着同一方向作有序运动的假设，决定了终点熵最低和不处于热力学平衡态。
The non-equilibrium thermodynamic theory of artificial neural networks is introduced in this paper. The concepts of entropy production rate, network stability condition and its applications are given.
建立了神经网络的非平衡态热力学理论，给出了神经网络熵产生率，稳定条件及应用实例。
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