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Author
Pineda Lezama, Omar Bonerge (2)
Gaitán-Angulo, Mercedes (1)Lozano Ayarza, Liliana Patricia (1)Martínez Galán, Zuleima del Carmen (1)MOJICA HERAZO, JULIO CESAR (1)Morgado Gamero, W.B. (1)Navarro Beltran, Jorge (1)Rojas Millán, Rafael Humberto (1)Romero Borré, Jenny (1)Silva, Jesus (1)... View MoreSubject
Cyclic variation (2)
Forecast (2)Multiple input multiple output (2)Support vector machines (2)Multilayer Perceptron (1)Multilayer perceptron (1)Predictive model (1)predictive model (1)... View MoreDate Issued2019 (1)2020 (1)Has File(s)Yes (2)

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An early warning method for agricultural products price spike based on artificial neural networks prediction 

Silva, Jesús; Gaitán-Angulo, Mercedes; Romero Borré, Jenny; Lozano Ayarza, Liliana Patricia; Pineda Lezama, Omar Bonerge; Martínez Galán, Zuleima del Carmen; Navarro Beltran, Jorge (Universidad de la Costa, 2020)
In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation ...
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Early warning method for the commodity prices based on artificial neural networks: SMEs case 

Silva, Jesus; MOJICA HERAZO, JULIO CESAR; Rojas Millán, Rafael Humberto; Pineda Lezama, Omar Bonerge; Morgado Gamero, W.B.; Varela Izquierdo, Noel (Procedia Computer Science, 2019)
Applications based on Artificial Neural Networks (ANN) have been developed thanks to the advance of the technological progress which has permitted the development of sales forecasting on consumer products, improving the ...

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