Description

• Title:
  Using the LSTM network to forecast the demand for hard coal
• Creator:
  Manowska, Anna
• Description:
  Editorial Board Editor-in-Chief: Eugeniusz Mokrzycki Deputy Editor-in-Chief: Ryszard Uberman (section: mining) Editorial Secretary: Krzysztof Galos (section: mineralogy) Deputy Editorial Secretary: Lidia Gawlik (section: mineral and energy economy) Deputy Editorial Secretary: Beata Klojzy-Karczmarczyk (section: environmental engineering in mining) Statistical Editor: Jacek Mucha Advisory Board Mattias Bäckström, Assistant Professor, Örebro University, Örebro, Sweden Wiesław Blaschke, PhD(Eng), Professor, The Institute of Mechanised Construction and Rock Mining, Katowice, Poland Jan Butra, Professor, Wroclaw University of Technology, Wrocław, Poland Dennis L. Buchanan, Professor, Imperial College of Science, Technology and Medicine, London, United Kingdom Michal Cehlár – Technical University of Košice, Slovak Republic Józef Dubiński, Professor, The Central Mining Institute, Katowice, Poland Jakub Jirasek, Associate Professor, The Technical University of Ostrava, Czech Republic Roman Magda, Professor, The AGH University of Science and Technology, Kraków, Poland Antonio Mateus, Professor, Universidade de Lisboa, Lizbona, Portugal Jacek Motyka, Professor, The AGH University of Science and Technology, Kraków, Poland Marek Nieć, DSc(Eng), Professor, The MEERI PAS, Kraków, Poland James Otto, Professor, Colorado School of Mines, Golden, USA Marian Radetzki, Professor, Luleå University of Technology, Luleå, Sweden Anton Sroka, Professor, TU Bergakademie Freiberg, University of Resources, Freiberg, Germany Krzysztof Szamałek, Professor, The University of Warsaw, Warsaw, Poland Günter Tiess, Assistant Professor, MinPol GmbH, Dreistetten, Austria Publishing Committee Emilia Rydzewska – linguistic editor (Polish) Michelle Atallah – linguistic editor (English) Barbara Sudoł – technical editor
• Object availability:
  free access
• Date:
  2020.12.21
• Type:
  Article
• Source:
  Gospodarka Surowcami Mineralnymi - Mineral Resources Management; 2020; vol. 36; No 4; 33-48
• Coverage:
  33-48
• Publisher:
  Komitet Zrównoważonej Gospodarki Surowcami Mineralnymi PAN;
  Instytut Gospodarki Surowcami Mineralnymi i Energią PAN
• Subject:
  time series;
  principal components analysis;
  hard coal sales;
  LSTM artificial neural networks
• Identifier:
  ISSN 0860-0953
• Data provider:
  Czasopisma PAN
• Can I use it?:
  seek permission
• Type:
  image