Khare, N.;                     Devan, P.;                     Chowdhary, C.L.;                     Bhattacharya, S.;                     Singh, G.;                     Singh, S.;                     Yoon, B.    
        SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection. Electronics 2020, 9, 692.
    https://doi.org/10.3390/electronics9040692
    AMA Style
    
                                Khare N,                                 Devan P,                                 Chowdhary CL,                                 Bhattacharya S,                                 Singh G,                                 Singh S,                                 Yoon B.        
                SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection. Electronics. 2020; 9(4):692.
        https://doi.org/10.3390/electronics9040692
    
    Chicago/Turabian Style
    
                                Khare, Neelu,                                 Preethi Devan,                                 Chiranji Lal Chowdhary,                                 Sweta Bhattacharya,                                 Geeta Singh,                                 Saurabh Singh,                                 and Byungun Yoon.        
                2020. "SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection" Electronics 9, no. 4: 692.
        https://doi.org/10.3390/electronics9040692
    
    APA Style
    
                                Khare, N.,                                 Devan, P.,                                 Chowdhary, C. L.,                                 Bhattacharya, S.,                                 Singh, G.,                                 Singh, S.,                                 & Yoon, B.        
        
        (2020). SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection. Electronics, 9(4), 692.
        https://doi.org/10.3390/electronics9040692