This thesis proposed Vector Base Learning (VBL) algorithm.
提出了矢量基学习算法。
A fuzzy Q learning algorithm is proposed in this dissertation, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
首先，提出一种模糊Q学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base.
这种二层优化方法能较好地减少模糊规则基的冗余度，化简模糊规则基。
This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base. A computer simulation…
这种二层优化方法能较好地减少模糊规则基的冗余度，化简模糊规则基。
This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base. A computer simulation…
这种二层优化方法能较好地减少模糊规则基的冗余度，化简模糊规则基。
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