The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization
algorithm; copper; electrical conductivity; estimation method; machine learning; optimization; ore deposit; ore grade; porphyry; solubility; Iran; Kerman [Iran]
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Main Authors: | Abbaszadeh M., Ehteram M., Ahmed A.N., Singh V.P., Elshafie A. |
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Other Authors: | 54419507900 |
Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2023
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