Tao, T.;                     Han, P.;                     Yang, X.-H.;                     Zu, Q.;                     Hu, K.;                     Mo, S.;                     Li, S.;                     Luo, Q.;                     He, Z.    
        Fast Initial Model Design for Electrical Resistivity Inversion by Using Broad Learning Framework. Minerals 2024, 14, 184.
    https://doi.org/10.3390/min14020184
    AMA Style
    
                                Tao T,                                 Han P,                                 Yang X-H,                                 Zu Q,                                 Hu K,                                 Mo S,                                 Li S,                                 Luo Q,                                 He Z.        
                Fast Initial Model Design for Electrical Resistivity Inversion by Using Broad Learning Framework. Minerals. 2024; 14(2):184.
        https://doi.org/10.3390/min14020184
    
    Chicago/Turabian Style
    
                                Tao, Tao,                                 Peng Han,                                 Xiao-Hui Yang,                                 Qiang Zu,                                 Kaiyan Hu,                                 Shuangling Mo,                                 Shuangshuang Li,                                 Qiang Luo,                                 and Zhanxiang He.        
                2024. "Fast Initial Model Design for Electrical Resistivity Inversion by Using Broad Learning Framework" Minerals 14, no. 2: 184.
        https://doi.org/10.3390/min14020184
    
    APA Style
    
                                Tao, T.,                                 Han, P.,                                 Yang, X.-H.,                                 Zu, Q.,                                 Hu, K.,                                 Mo, S.,                                 Li, S.,                                 Luo, Q.,                                 & He, Z.        
        
        (2024). Fast Initial Model Design for Electrical Resistivity Inversion by Using Broad Learning Framework. Minerals, 14(2), 184.
        https://doi.org/10.3390/min14020184