Object's details: Artificial Neural Networks in Air Pollution Prediction - Importance of Input Variables

Provider:Czasopisma PAN

Description

Title:
Artificial Neural Networks in Air Pollution Prediction - Importance of Input Variables
Creator:
Rogula, Wioletta;
Żeliński, Jacek
Description:
Archives of Environmental Protection is the oldest Polish scientific journal of international scope that publishes articles on engineering and environmental protection. The quarterly has been published by the Institute of Environmental Engineering, Polish Academy of Sciences since 1975. The journal has served as a forum for the exchange of views and ideas among scientists. It has become part of scientific life in Poland and abroad. The quarterly publishes the results of research and scientific inquiries by best specialists hereby becoming an important pillar of science. The journal facilitates better understanding of environmental risks to humans and ecosystems and it also shows the methods for their analysis as well as trends in the search of effective solutions to minimize these risks. The journal is indexed by Clarivate Analytics services (Biological Abstract, BIOSIS Previews) and has an Impact Factor (June 2023) of 1.5. CiteScore 2022: 2.9 SCImago Journal Rank (SJR) 2022: 0.351 Source Normalized Impact per Paper (SNIP) 2022: 0.485 Submit your article;
Editors Editor-in-Chief Czesława Rosik-Dulewska 0000-0003-2698-5437 Institute of Environmental Engineering of the Polish Academy of Sciences in Zabrze (Poland) Editorial Advisory Board Michał Bodzek 0000-0001-9534-7426 Institute of Environmental Engineering of the Polish Academy of Sciences in Zabrze (Poland) Katarzyna Juda-Rezler 0000-0002-1883-3356 Warsaw University of Technology, Faculty of Building Services, Hydro and Environmental Engineering, Chair of Environment Protection and Management Korneliusz Miksch 0000-0002-2192-8647 Silesian University of Technology, Faculty of Environmental Engineering and Power Engineering Assistant Editor Jerzy Szdzuj Editorial Board: President: Lucjan Pawłowski 0000-0003-0628-6735 Members: Adamowski Jan Franklin (Canada) 0000-0002-1242-3364 Alonso Rosa M. (Spain) 0000-0002-1242-3364 Banasik Kazimierz (Poland) 0000-0002-7328-461X Van der Bruggen Bart (Belgium) 0000-0002-3921-7472 Czaplicka Marianna (Poland) 0000-0001-7435-5646 Wolfgang Frenzel (Germany) 0000-0002-7697-2514 Bamwenda Gratian R.(Tanzania) Huszar Peter (The Czech Republic) 0000-0003-2954-8347 Kulig Andrzej (Poland) 0000-0001-6122-3169 Kabsch-Korbutowicz Malgorzata (Poland) 0000-0002-8188-042X Kyzioł-Komosińska Joanna (Poland) 0000-0001-8777-4989 Michalski Rajmund (Poland) 0000-0003-4441-7409 Misiewicz Paula (United Kingdom) 0000-0003-1909-285X Corral Mosquera Anuska (Spain) 0000-0003-1925-680X Nahorski Zbigniew (Poland) 0000-0002-2340-8020 Nakamura Takashi (Japan) 0000-0001-6979-0782 Oleszek Sylwia (Poland/Japan) 0000-0001-6660-9992 Reizer Magdalena (Poland) 0000-0002-3572-6050 Rostkowski Pawel (Norway) 0000-0001-9778-4283 Soldan Premysl ( The Czech Republik) 0000-0002-8892-5117 Surmacz-Górska Joanna (Poland) 0000-0002-1805-2189 Ultra Venecio (Philippines) 0000-0002-7980-4137 Wiatkowski Mirosław (Poland) 0000-0002-5155-0593 Winnicki Tomasz (Poland) 0000-0002-5859-7335 Włodarczyk-Makuła Maria (Poland) 0000-0002-3978-2420;
<a href="images/data/aep/wydania/Instrukcje_dla_Autorow.pdf" target="_blank">Instrukcja dla autorów.pdf</a>;
<a href="images/data/aep/wydania/Instructions_for_Authors.pdf">Instruction for authors.pdf</a>
Object availability:
free access
Rights:
Archives of Environmental Protection jest czasopismem wydawanym w wolnym dostępie na licencji CC BY-NC-SA 4.0.
Date:
2022.06.19
Type:
Article
Coverage:
15-26
Publisher:
Polish Academy of Sciences
Subject:
multilayer perceptron;
neural network;
backpropagation;
artificial intelligence;
air pollutants;
prediction;
input variables;
output variables;
meteorological conditions
Identifier:
ISSN 2083-4772;
eISSN 2083-4810
Data provider:
Czasopisma PAN

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Object's details: Artificial Neural Networks in Air Pollution Prediction - Importance of Input Variables

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