在提出流体力学道路交通压力的概念基础上，选取适当的熵模型和关键的交通状态参数，运用非平衡态热力学的理论 方法建立道路交通系统熵模型和负熵流模型。
So, this paper can discriminate the state of road traffic. The negative entropy flow model can ensure the extent of traffic management and the best management time should be taken when road is crowed.
在最大熵等统计机器学习模型当中，特征函数的选择可以说是对系统整体性能影响最大的部分。
The feature functions were reckoned as the most important part of the maximum entropy model which could affact the last result of system.
最后，利用类比推理的逻辑学理论得出单件小批订货型离散制造系统物流优化运行熵模型。
In the end, by the logic theory of analogism, the paper gets the logistics optimized model of operation entropy in discrete manufacturing system of job - shop ordering type.
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