This paper proposes a new type position controller with neural network structure, gives it 's learning rule, and do the simulation experiment on position servo system of NC machine.

本文提出了一种新型的神经网络结构的位置控制器，给出了该控制器的学习算法，并进行了数控机床位置伺服系统的仿真实验。

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Q-learning was applied to resolution of the adaptive dispatching rule selection problem under dynamic single-machine scheduling environment.

提出了一种利用Q-学习解决动态单机调度环境下的自适应调度规则选择的方法。

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There are two main technologies in time expression recognition:sequence labeling method based on machine learning theory and rule-based method.

时间表达式识别技术主要分为两类：基于机器学习的序列标注方法和基于规则的方法。

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