Behavior and Prediction of Turbidity in the Frio River (Cundinamarca, Colombia) through Artificial Neuronal Network (Nar Algorithm)

International Journal of Civil Engineering and Technology, 10(12), 2019, pp.9-15

7 Pages Posted: 10 Mar 2020

See all articles by Juan P. Rodríguez Miranda

Juan P. Rodríguez Miranda

Universidad Distrital Francisco José de Caldas, Carrera 7 No. 40B-53. Bogotá D.C, Colombia

Carlos A. Zafra Mejía

Universidad Distrital Francisco José de Caldas, Carrera 7 No. 40B-53. Bogotá D.C, Colombia

Jhon J. Feria Díaz

Universidad de Sucre, Carrera 28 No. 5-267. Sincelejo, Colombia

Date Written: 2019

Abstract

The present paper considers the behavior and prediction of turbidity in the Frio River, through the application of an Artificial Neural Network (ANN) through the NonLinear Autoregressive method with the purpose of knowing the characterization of this parameter of raw water quality that has an impact on the purification of water.

Keywords: turbidity, raw water, artificial neuron network, prediction

Suggested Citation

P. Rodríguez Miranda, Juan and A. Zafra Mejía, Carlos and J. Feria Díaz, Jhon, Behavior and Prediction of Turbidity in the Frio River (Cundinamarca, Colombia) through Artificial Neuronal Network (Nar Algorithm) (2019). International Journal of Civil Engineering and Technology, 10(12), 2019, pp.9-15, Available at SSRN: https://ssrn.com/abstract=3535557

Juan P. Rodríguez Miranda (Contact Author)

Universidad Distrital Francisco José de Caldas, Carrera 7 No. 40B-53. Bogotá D.C, Colombia ( email )

Carrera 7 No. 40-53
Bogotá
Colombia

HOME PAGE: http://iaeme.com/MasterAdmin/UploadFolder/IJCIET_10_08_004/IJCIET_10_08_004.pdf

Carlos A. Zafra Mejía

Universidad Distrital Francisco José de Caldas, Carrera 7 No. 40B-53. Bogotá D.C, Colombia ( email )

Carrera 7 No. 40-53
Bogotá
Colombia

Jhon J. Feria Díaz

Universidad de Sucre, Carrera 28 No. 5-267. Sincelejo, Colombia ( email )

Sincelejo, Sucre
Colombia

HOME PAGE: http://iaeme.com/MasterAdmin/UploadFolder/IJCIET_10_08_004/IJCIET_10_08_004.pdf

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