BEHAVIOR AND PREDICTION OF TURBIDITY IN THE FROM RIVER (CUNDINAMARCA, COLOMBIA) THROUGH ARTIFICIAL NEURONAL NETWORK (NAR ALGORITHM)
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.10, No. 12)Publication Date: 2019-12-11
Authors : Juan P. Rodríguez Miranda Carlos A. Zafra Mejía Jhon J. Feria Díaz;
Page : 9-15
Keywords : Turbidity; raw water; artificial neuron network; prediction;
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.
Other Latest Articles
- THE DEEP DISTRIBUTION OF LONGITUDINAL ELECTRICAL CONDUCTIVITY IN THE EARTH’S CRUST (CENTRAL TIEN SHAN)
- A STRATEGIC STUDY ON E-WASTE: BATTERY WASTE MANAGEMENT AND OPTIMIZATION FOR MULTI STAKEHOLDER
- UNIFIED FINITE ELEMENT MODEL FOR THE ANALYSIS OF BEAMS ON ELASTIC FOUNDATION
- DETERMINING SEARCH AND RESCUE (SAR) BASE LOCATION IN WESTERN PART OF INDONESIA
Last modified: 2020-01-17 16:46:05