Selection criterion is based on the Frobenius-2 norm of received signal vector at each receiving antenna.
该文只考虑了接收天线选择，天线选择的准则是基于每个天线接收到的信号向量F-2范数。
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。
The former uses marker score as selection criterion estimated based on the markers showing significant associations with the target quantitative trait screened by stepwise multiple regression.
前者采用逐步回归筛选与目标性状相关联的标记，由此估计个体的标记值，作为选择的依据；
应用推荐