[PDF][PDF] 基于KS 检验和邻域粗糙集的特征选择方法
刘艳， 程璐， 孙林 - 河南师范大学学报(自然科学版), 2019 - htu.edu.cn
传统的肿瘤基因选择算法挑选出的特征基因中存在大量噪声基因和冗余基因,
从而对基因算法的准确性和分类精度产生影响. 针对这一问题, 将KS 检验与邻域粗糙集融合成为 …
从而对基因算法的准确性和分类精度产生影响. 针对这一问题, 将KS 检验与邻域粗糙集融合成为 …
Smart status evaluation and early warning approach for highlyreliable protection systems based on GAN model and random forest algorithm
L ZHANG, G WANG, L CAO… - Journal of Electric …, 2022 - jepst.researchcommons.org
To improve the status evaluation accuracy of protection systems, a smart status evaluation
method based on GAN model and random forest algorithm is proposed. Firstly, a system …
method based on GAN model and random forest algorithm is proposed. Firstly, a system …