scholarly journals Cascade Feed Forward Neural Network-based Model for Air Pollutants Evaluation of Single Monitoring Stations in Urban Areas

2015 ◽  
Vol 61 (4) ◽  
pp. 327-332 ◽  
Author(s):  
Giacomo Capizzi ◽  
Grazia Lo Sciuto ◽  
P. Monforte ◽  
Christian Napoli
Keyword(s):  
Neural Network ◽  
Urban Areas ◽  
Air Pollutants ◽  
Monitoring Station ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
The City ◽  
Monitoring Stations

Abstract In this paper, air pollutants concentrations for NO2, NO, NOx and PM10 in a single monitoring station are predicted using the data coming from other different monitoring stations located nearby. A cascade feed forward neural network based modeling is proposed. The main aim is to provide a methodology leading to the introduction of virtual monitoring station points consistent with the actual stations located in the city of Catania in Italy

scholarly journals Statistical modeling of particle mater air pollutants in the city of Ruse, Bulgaria

2018 ◽  
Vol 145 ◽  
pp. 01010 ◽  
Author(s):  
Evelina Veleva ◽  
Ivanka Zheleva
Keyword(s):  
Air Pollution ◽  
Statistical Analysis ◽  
Statistical Modeling ◽  
Air Pollutants ◽  
Air Pollutant ◽  
Monitoring Station ◽  
Pm10 And Pm2.5 ◽  
Using Data ◽  
The City ◽  
Monitoring Stations

This paper is devoted to examine the PM10 and PM2.5 pollution in Ruse region, Bulgaria. It is a continuation of our previous work [1] where we presented a statistical analysis and modelling of the level of PM10 air pollution in Ruse using data from one of two monitoring stations (station 2) in the city. Now in this paper we present statistical analysis of the level of PM10 pollutant on the basis of data from the another monitoring station (station 1). The measurements cover the period since 2015 up to now. The results from analysis and modelling of PM2.5 air pollutant are also presented and commented in the paper.

scholarly journals A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ

2021 ◽  
Vol 118 ◽  
pp. 103766
Author(s):  
Ahmed J. Aljaaf ◽  
Thakir M. Mohsin ◽  
Dhiya Al-Jumeily ◽  
Mohamed Alloghani
Keyword(s):  
Neural Network ◽  
Data Science ◽  
Feed Forward Neural Network ◽  
Feed Forward

Feed forward neural network and interpolation function models to predict the soil and subsurface sediments distribution in Bam, Iran

2009 ◽  
Vol 57 (2) ◽  
pp. 271-293 ◽  
Author(s):  
Khalil Rezaei ◽  
Bernard Guest ◽  
Anke Friedrich ◽  
Farajollah Fayazi ◽  
Muhammad Nakhaei ◽  
...  
Keyword(s):  
Neural Network ◽  
Interpolation Function ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Subsurface Sediments ◽  
Function Models
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