Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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The study shows the computational simulation of the treatment of remediation of metallurgical effluents from cupriferous minerals for reducing the concentration of copper ion through the systematization of the influence of each of the variables involved in the referred Treatment, being the operation variables, the independent variables such as: initial concentration of copper dissolved in metallurgical effluent, particle size, temperature, solid-liquid ratio, remediation speed (RPM) and remediation time; and the dependent operation variable will be the final concentration of dissolved copper in effluents; in that sense, this Computational Simulation; the representation of the Systematization of the operation variables from the treatment of remediation of metallurgical effluents from cupriferous minerals, a “Mathematic Model of Computational Simulation from treatment of remediation of metallurgical effluents from cupriferous minerals” which has a discrete and rigurous character and is the result from the influence for each operation variables from the treatment of remediation of metallurgical effluents with high copper load whose equation is: Ln α = K t.
Silvana L. Flores Chávez. 2021. \u201cComputational Simulation of the Treatment of Remediation of Metallurgical Effluents to Reducing the Concentration of Copper\u201d. Global Journal of Human-Social Science - H: Interdisciplinary GJHSS-H Volume 21 (GJHSS Volume 21 Issue H9): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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The study shows the computational simulation of the treatment of remediation of metallurgical effluents from cupriferous minerals for reducing the concentration of copper ion through the systematization of the influence of each of the variables involved in the referred Treatment, being the operation variables, the independent variables such as: initial concentration of copper dissolved in metallurgical effluent, particle size, temperature, solid-liquid ratio, remediation speed (RPM) and remediation time; and the dependent operation variable will be the final concentration of dissolved copper in effluents; in that sense, this Computational Simulation; the representation of the Systematization of the operation variables from the treatment of remediation of metallurgical effluents from cupriferous minerals, a “Mathematic Model of Computational Simulation from treatment of remediation of metallurgical effluents from cupriferous minerals” which has a discrete and rigurous character and is the result from the influence for each operation variables from the treatment of remediation of metallurgical effluents with high copper load whose equation is: Ln α = K t.
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