The method in this paper can be used to predict parameters of combustible cloud explosion.

文中所用的方法可为实际气云爆炸场提供参数预测。

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At last, an effective algorithm model taking advance of a skillful encoding method is designed and called ACGA with self-adaptation adjustment of parameters based on cloud models.

最后，针对模型的具体特点，设计模型解的编码方式，并采用基于云模型的参数自适应蚁群遗传算法进行仿真，结果表明了模型和算法的有效性。

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In order to reduce the delay of cars passing through intersections, control strategies are set up by cloud model and some parameters of the control model are improved by Q-learning method.

为了减少车辆通过路口的延误，采用云模型建立控制策略，运用Q -学习改进控制模型的参数。

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