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Impact-slip experiments and systematic study of coal gangue “category” recognition technology part II: Improving effect of the proposed parallel voting system method on coal gangue “category” recognition accuracy based on impact-slip experiments

Yang Yang, Qingliang Zeng

2021Powder Technology17 citationsDOI

Topics & Concepts

GanguePattern recognition (psychology)Computer scienceArtificial intelligenceCoal miningVotingCoalSIGNAL (programming language)Data miningEngineeringMaterials sciencePolitical sciencePoliticsWaste managementMetallurgyProgramming languageLawMineral Processing and GrindingMetal Extraction and BioleachingRock Mechanics and Modeling
Impact-slip experiments and systematic study of coal gangue “category” recognition technology part II: Improving effect of the proposed parallel voting system method on coal gangue “category” recognition accuracy based on impact-slip experiments | Litcius