… , 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 …
… 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 …