… KNN)[11],支持向量机(Support vector machine,SVM)[12],AdaBoost 分类器[13],极限学习机(Ex‑
treme learning machine,ELM… radial encoding of local Gabor features and classifier synthesis…

… 此外,还 进行了对比实验,结果表明,LR 模型的分类识别性能优 于KNN,SVM,ELM 模型,其准确率
:… An automatic approach using ELM classifier for HFpEF identification based on heart sound …

… , which further improves the classification stability of feature … 模型包括k-最近邻（k-nearest
neighbor，KNN）、高斯混合模型（… 学习机（extreme learning machine，ELM）为分类器进行了实验，…

… The classification effect of IHHO-SVM classifier is the best among all classifiers,which …
disturbances based on casebased reasoning and SVM-KNN[J].Journal of Lanzhou University of …

… 由于K近邻算法(K-Nearest Neighbor, KNN)不需 要进行参数… 属于每个类别 的程度, 再使用KNN对
攻击类别进行划分.但是, 随 … 极限学习机 (extreme learning machine, ELM)算法来构建IDS, 能 …

… ]中用K近邻分类算法(K-nearest-neighbors, KNN)在MNIST数据集上实现了2.83%的分类错误
率… ELM-SRC(Sparse representation based classification),把SRC处理噪声图像的优势和ELM…

… 研究 Research on automatic speech recognition based on a … 学习机(Extreme learning machine,
ELM) 隐含层参数分配中,以… K 近邻(K-nearest neighbors, KNN) 进行仿真实验, 结果表明这种…

… analysis,network traffic classification,and network traffic … mining technology in network traffic
classification and prediction,com⁃ … Research on KNN net⁃ work traffic classification model …

… Future researches need to focus on the early identification of pre-school … classifier among
multiple classifiers to obtain optimal parameters, which will eventually achieve widespread use …

… the detection accuracy. This paper first introduces the flowchart of EEG-based automatic
epilepsy detection, and then describes typical feature extraction and classification approaches …