The case demonstrates that CBR has the characteristics of high efficiency and self learning with contrast to conventional Rule Based Reasoning (RBR).
结果表明，与传统的基于规则推理(rbr)相比，CBR具有效率高且有自学习能力的优点。
The way may realize self learning multi dimension control rule base.
方法能实现任意维控制规则库的自学习。
A minor component analysis (MCA) learning rule is presented which includes a penalty term on the self-stabilizing MCA learning rule.
基于自稳定次元分析学习规则，提出一种添加了惩罚项的次元分析(MCA)学习规则。
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