Another method of RBF neural networks attributions selection based on a separability criterion ranking is presented in this paper.
提出了一种可分性判据排序的RBF神经网络属性选择方法。
And the sort separability criterion can also play the role of being a quantification measure on the characteristic extracting of flaw signals.
类别可分性判据对缺陷信号的特征提取也起了定量衡量尺度的作用。
The discernability of deformation models and the separability criterion of the integrated design were derived as application. so the theory can be used in the design of network.
作为应用，可导出变形模型的可区分度及网的可区分标准，在监测网的设计中应用。
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