提出了一种二层学习算法来优化模糊规则基。
This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
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.
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…
设计一种新型混合模糊神经推理系统，该系统仅从期望输入输出数据集即可达到获取知识、确定模糊初始规则基的目的。
A novel hybrid neural fuzzy inference system is presented. Only based on the desired input output data pairs, are the knowledge acquisition and initial fuzzy rule sets available.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
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