We define inverse links in hypertext learning state space and define virtual teacher concept. Then we get a seeking answer method in hypertext learning state space.
本文在超文本学习状态空间中引入逆连接，从而在超文本状态空间的数学模型框架中，引入虚拟答疑概念，并给出一个问题答疑算法。
The new algorithm can cut down the redundant state information, so that the composition intensity of learning space is decreased and the convergence of the learning course is accelerated.
这种方法可以削减学习哈尔滨工程大学博士学位论文单元的冗余状态信息，降低学习空间的组合强度，加快群体强化学习算法的学习速度。
But the slow learning process and low learning performance of RL becomes a formidable obstacle to prevent RL from problems with large state space.
但一直以来学习速度慢和学习效率低的问题严重阻碍了强化学习应用于具有大规模状态空间的复杂问题。
Q-learning is a typical Reinforcement Learning (RL) method with a slow convergence speed especially as the scales of the state space and action space increase.
学习是一种典型的强化学习，其学习效率较低，尤其是当状态空间和决策空间较大时。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
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