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Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section
Gelvez-Almeida, Elkin; Mora, Marco ; Huérfano-Maldonado, Y; Salazar-Jurado, Edwin; Martínez-Jeraldo, N; Lozada-Yavina, Rafael; Baldera-Moreno, Yvan; Tobar Valenzuela, Luis (2023)Extreme learning machine is a neural network algorithm widely accepted in the scientific community due to the simplicity of the model and its good results in classification and regression problems; digital image processing, ...
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Log-linear modeling between risk factors and interactions for human papillomaviruses infection and papanicolaou smear abnormalities
Cuesta-Herrera, Ledys; Torres-Mantilla, H; Quintero Vega, Militza; Borges Peña, Rafael; Martínez-Jeraldo, N (2023)Modeling qualitative variables and their interactions often require multidimensional analysis through Log-linear models. Furthermore, these models are useful as alternatives in fields where probabilistic classification is ...
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Mathematical modelling of binge drinking from social interactions
Gutiérrez Aguilar, Rodrigo; Cuesta-Herrera, Ledys; Torres-Mantilla, H; Martínez-Jeraldo, N (2022)Binge drinking is a multi-factorial problem where peer influence in the immediate environment has a key role in the appearance of the first episode and the recurrence. However, information regarding the interaction of ...