Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction
In this paper five neural network models were developed using NARX-SP neural network type in order to predict air pollutants concentrations (SO2, PM10, NO2, O3 and CO ) for the 72nd hour ahead for Sarajevo. Hourly values of air pollutants concentrations and meteorological parameters (air temperature...
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Online Access: | http://www.temjournal.com/content/93/TEMJournalAugust_852_861.pdf |
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doaj-a439963099eb476f8f8126f9bbe29fb82020-11-25T02:53:01ZengUIKTENTEM Journal2217-83092217-83332020-08-019385286110.18421/TEM93-03Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality PredictionMirza PasicIzet BijelonjaEdin KadricHadis BajricIn this paper five neural network models were developed using NARX-SP neural network type in order to predict air pollutants concentrations (SO2, PM10, NO2, O3 and CO ) for the 72nd hour ahead for Sarajevo. Hourly values of air pollutants concentrations and meteorological parameters (air temperature, pressure and humidity, wind speed and direction) for Sarajevo were used. Optimal model was selected based on the values of R2, MSE and the complexity of models. Optimal neural network model can predict air pollutants concentrations for the 72nd hour ahead with high accuracy, as well as for all hours up to 72nd hour.http://www.temjournal.com/content/93/TEMJournalAugust_852_861.pdfnarx-spneural networkair pollutant concentrationmeteorological parameters |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mirza Pasic Izet Bijelonja Edin Kadric Hadis Bajric |
spellingShingle |
Mirza Pasic Izet Bijelonja Edin Kadric Hadis Bajric Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction TEM Journal narx-sp neural network air pollutant concentration meteorological parameters |
author_facet |
Mirza Pasic Izet Bijelonja Edin Kadric Hadis Bajric |
author_sort |
Mirza Pasic |
title |
Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction |
title_short |
Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction |
title_full |
Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction |
title_fullStr |
Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction |
title_full_unstemmed |
Modeling of Nonlinear Autoregressive Neural Network for Multi-Step Ahead Air Quality Prediction |
title_sort |
modeling of nonlinear autoregressive neural network for multi-step ahead air quality prediction |
publisher |
UIKTEN |
series |
TEM Journal |
issn |
2217-8309 2217-8333 |
publishDate |
2020-08-01 |
description |
In this paper five neural network models were developed using NARX-SP neural network type in order to predict air pollutants concentrations (SO2, PM10, NO2, O3 and CO ) for the 72nd hour ahead for Sarajevo. Hourly values of air pollutants concentrations and meteorological parameters (air temperature, pressure and humidity, wind speed and direction) for Sarajevo were used. Optimal model was selected based on the values of R2, MSE and the complexity of models. Optimal neural network model can predict air pollutants concentrations for the 72nd hour ahead with high accuracy, as well as for all hours up to 72nd hour. |
topic |
narx-sp neural network air pollutant concentration meteorological parameters |
url |
http://www.temjournal.com/content/93/TEMJournalAugust_852_861.pdf |
work_keys_str_mv |
AT mirzapasic modelingofnonlinearautoregressiveneuralnetworkformultistepaheadairqualityprediction AT izetbijelonja modelingofnonlinearautoregressiveneuralnetworkformultistepaheadairqualityprediction AT edinkadric modelingofnonlinearautoregressiveneuralnetworkformultistepaheadairqualityprediction AT hadisbajric modelingofnonlinearautoregressiveneuralnetworkformultistepaheadairqualityprediction |
_version_ |
1724727150654783488 |