Predictive Ability of Improved Neural Network Models to Simulate Pollutant Dispersion

Este artc̕ulo comprende el uso de modelos de redes neuronales artificiales (ANN) como estrategia para la simulacin̤ de las caracters̕ticas de dispersin̤ de contaminantes en diferentes regiones. Estos modelos son desarrollados con base en 12 variables meteorolg̤icas y 6 parm̀etros asociados al trf̀ic...

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Bibliographic Details

Other Authors:	Hossain Khandaker M. A., Hindawi
Format:	Book
Language:	English
Subjects:	Redes neuronales (Computadores) Dispersin̤ de contaminantes Contaminacin̤ Control de la contaminacin̤ Control de calidad del aire Contaminantes Contaminacin̤ del aire Neural networks (Computer science) Dispersion of pollutants Environmental pollution Pollution control Air quality management Pollutants Air - Pollution Modelos ANN Variables meteorolg̤icas Datos de trǹsito Habilidad predictiva. ANN models Meteorological variables Traffic data Predicting ability.
Online Access:	Predictive Ability of Improved Neural Network Models to Simulate Pollutant Dispersion
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