Self-generating neural network (SGNN) is a self-organization neural network, whose network structures and parameters need not to be set by users, and its learning process needs no iteration.

自生成神经网络（SGNN）是一类自组织神经网络，它不需要用户指定网络结构和学习参数，而且不需要迭代学习，是一类特点突出的神经网络。

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The HMMs' parameters are further trained by the method of iterative learning from a large data set;

通过迭代学习的方法在大样本下进一步训练这些隐马尔可夫模型参数；

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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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