首页|Research on Machine Learning Published by a Researcher at Natural Resources Cana da (Machine-Learning Analysis of the Canadian Royalties Grinding Circuit)
Research on Machine Learning Published by a Researcher at Natural Resources Cana da (Machine-Learning Analysis of the Canadian Royalties Grinding Circuit)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news originating from Ottawa, Canada, by NewsRx editors, the research stated, “This work aimed tounderstand the relationships between grinding variables and the P80 (80% pass ing size) of a grindingcircuit (feed to flotation).”Our news journalists obtained a quote from the research from Natural Resources C anada: “CanadianRoyalties want to obtain and reduce variations in the P80, whic h is currently 65 micrometres. Thus,principal component analysis (PCA), part of machine learning, was utilized to better understand the factorsthat significan tly influence the P80. PCA is meant to be used as a guideline for plant metallur gists todetermine how the grinding circuit factors influence P80; thus, the var iables can be manipulated to lowerP80 fluctuations. PCA revealed that the head grade of the ore (pentlandite (Pn), chalcopyrite (Cp),pyrrhotite (Po) and non-s ulphide gangue (NSG)) and the primary ball mill power were weakly correlatedwit h P80.”
Natural Resources CanadaOttawaCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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