机译:混合BF-PSO和模糊支持向量机的肌电信号特征诊断疲劳状态
Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200030, Peoples R China;
Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore;
CAST, Inst Manned Space Syst Engn, Human Spaceflight Syst Engn Div, Beijing, Peoples R China;
Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200030, Peoples R China;
Hong Kong Polytechn Univ, Sch Hotel & Tourism Management, Hong Kong, Hong Kong, Peoples R China;
Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200030, Peoples R China;
Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200030, Peoples R China;
Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai 200030, Peoples R China;
Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore;
Bacterial Foraging; Fuzzy support vector classifier machine; EMG signal; Fatigue;
机译:模糊支持向量机,用于基于小波特征的脑电信号分类。
机译:使用混合特征和支持向量机的焦点和非焦点脑电图信号的分类和辨别
机译:基于多尺度全局模糊熵的滚动元件轴承故障诊断,多级特征选择和支持向量机
机译:使用支持向量机的运动鉴别的EMG信号特征的实验研究
机译:使用时频表示和支持向量机对肌电信号进行分类以控制假手。
机译:通过分析从可佩戴装置获取的SEMG信号来评估多级支持矢量机器策略和内核调整水平
机译:混合BF-PSO和模糊支持向量机,利用EMG信号特征诊断疲劳状态