Si, L.;                     Wang, Z.;                     Liu, X.;                     Tan, C.;                     Xu, J.;                     Zheng, K.    
        Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Sensors 2015, 15, 28772-28795.
    https://doi.org/10.3390/s151128772
    AMA Style
    
                                Si L,                                 Wang Z,                                 Liu X,                                 Tan C,                                 Xu J,                                 Zheng K.        
                Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Sensors. 2015; 15(11):28772-28795.
        https://doi.org/10.3390/s151128772
    
    Chicago/Turabian Style
    
                                Si, Lei,                                 Zhongbin Wang,                                 Xinhua Liu,                                 Chao Tan,                                 Jing Xu,                                 and Kehong Zheng.        
                2015. "Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory" Sensors 15, no. 11: 28772-28795.
        https://doi.org/10.3390/s151128772
    
    APA Style
    
                                Si, L.,                                 Wang, Z.,                                 Liu, X.,                                 Tan, C.,                                 Xu, J.,                                 & Zheng, K.        
        
        (2015). Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Sensors, 15(11), 28772-28795.
        https://doi.org/10.3390/s151128772