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1)  score interpretability
分数可解释性
2)  Interpretability
可解释性
1.
But after the neural network learning,the structure of the original fuzzy system is changed and the interpretability,which is considered to be one of the most important features of fuzzy system,is usually impaired.
针对神经网络在学习之后,模糊系统的原始结构被改变,或削弱了规则可解释性这一模糊系统突出特点的问题,给出了一种提取模糊If-then规则的径向基函数(RBF)神经网络结构。
2.
The learned fuzzy systems are self-study and self-organize,but weaken their interpretability.
径向基函数网络和模糊推理系统在一些柔和的情况下具有等价的功能,因此可以利用神经网络的学习算法来调节模糊系统的参数,学习后的模糊系统具有自学习和自组织性,但是削弱了模糊系统的可解释性。
3.
The fact of making the model obtained by a linguistic Fuzzy Rule-based Model be better highly interpretable involves establishing hard restrictions to the rule structure thus losing flexibility and accuracy, on the contrary, relaxing such restrictions as approximate Fuzzy Rule-Based Model do allows more flexible models to be obtained but their interpretability.
基于规则的语言模糊模型具有较高可解释性,但是由于对规则结构有严格的限制所以其模型的适应性不强因而精度低。
3)  score interpretation
分数解释
1.
Score Interpretation for the HSK(Elementary-Intermediate) Listening Section;
HSK(初、中等)听力部分的分数解释研究
4)  no-paraphrase
不可解释性
1.
\'The unity of form and content\' consists of two negative theses: the inseparability of form and content and the no-paraphrase of Art.
"内容与形式的统一"包含两个否定性论题:一个是内容与形式的"不可分性",一个是艺术的"不可解释性"。
5)  explanatory adequacy
解释充分性
6)  enumerable interpretation model{I_m}
可数解释模型{I_m}
补充资料:连分数的渐近分数


连分数的渐近分数
convergent of a continued fraction

连分数的渐近分数l阴ve吧e时ofa阴‘毗d五,比.;n侧卫xp口.坦”八卯6‘] 见连分数(con tinued fraction).
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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