接受域,accepting region

1)accepting region
接受域

2)uniform acceptance region
等接受域
1.
This article, basing on the gradation comparison method to determine the acceptance index of small subsample for density of bullet and rocket, takes the uniform acceptance region method as the foundation and proposes to construct the acceptance function of the density and its evaluation criteria.
在极差比法确定弹箭密集度小子样验收指标的基础上,以等接受域法为基础,提出构造密集度验收函数及其评定准则。



3)Acceptability Region
可接受域

4)receptive fields of clusters
类别接受域
1.
Many clustering algorithms have two problems:1)the receptive fields of clusters are spherical which can not match the vwrious distributes of patterns because of using distance metric;2)they do not provide any clue regarding the number of clusters.
类别接受域为球形，不能与复杂模式分布匹配；２）对确定合理类别数不能提供任何帮助。



5)Receptive field function
接受域函数
1.
Aiming at conventional Cerebellar Model Articulation Controller (CMAC) and combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC(GFAC) was proposed, in which the fuzzy membership functions were utilized as the receptive field functions.
研究了GFAC接受域函数的映射规律、隶属度函数及其参数的选取规律和学习算法。


2.
A new type fuzzified Cerebellar Model Articulation Controller CMAC(NFCMAC)is proposed,in which the fuzzy membership functions are utilized as the receptive field functions.
同时研究了NFCMAC接受域函数的映射方法、隶属度函数及其参数的选取规律和学习算法。


3.
Combining CMAC addressing schemes with fuzzy logic idea, a general fuzzified CMAC(GFAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions.
研究了GFAC接受域函数的映射规律、隶属度函数及其参数的选取规律和学习算法。



6)RFWR
接受域加权回归
1.
This method utilizes an incremental learning algorithm called Receptive Field Weighted Regression (RFWR),and weighted average is used as the fusion strategy,thus it.
该方法由一种名为接受域加权回归 (ReceptiveFieldWeightedRegression)的渐进式学习算法和加权平均的融合算法组成 。



参考词条
敞口溜槽 能量歧离
补充资料：统计量值和接受域
分子式：
CAS号：

性质：统计量是一个随机变量，由一次抽样检验所得到的统计量值以一定的概率出现，只是概率的大小不同而已。在对假设进行抽样检验时，即使原假设H0不正确，在某一次抽样检验时，统计量值也可能以一个小的概率β出现在接受原假设的区域，而错误地接受了原假设H0；反之，即使原假设正确，在某一次抽样检验时，统计量值也可能以一个小的概率α出现在拒绝原假设H0的区域，而错误地拒绝了正确的原假设H0，1-α则为原假设H0为真时而作出接受原假设H0的结论的概率。这个以1-α概率正确能接受原假设H0的区域，称为接受域。


说明：补充资料仅用于学习参考，请勿用于其它任何用途。


接受域,accepting region