BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
采用基于灵敏度分析的BP神经网络模型作为基分类器,进一步剔除冗余基因。
While the model does not make recommendations specific to these issues, they are drivers of the model whose impact on the network may be determined through the sensitivity analysis process.
针对这些问题,虽然模型不提出建议,但是通过敏感性分析过程,这些因素将对物流网络的影响还是可以被确定的。
The analytical sensitivity analysis of TEM and CCT to network structure and parameters is also realized for the first time.
同时,还首次实现了暂态能量裕度和临界切除时间对网络结构和参数的解析灵敏度分析。
应用推荐