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The influence of the discrepancies in the observers' decisions on the process of identification of maceral groups using artificial neural networks
Author(s) -
Marta Skiba
Publication year - 2021
Publication title -
journal of sustainable mining
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.623
H-Index - 17
eISSN - 2543-4950
pISSN - 2300-3960
DOI - 10.46873/2300-3960.1184
Subject(s) - maceral , artificial neural network , artificial intelligence , identification (biology) , computer science , context (archaeology) , pattern recognition (psychology) , coal , sample (material) , feature selection , process (computing) , observer (physics) , machine learning , data mining , engineering , geology , chemistry , paleontology , botany , physics , chromatography , quantum mechanics , biology , operating system , waste management

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