Hydrometallurgy of China ›› 2025, Vol. 44 ›› Issue (2) : 264 - 270. DOI: 10.13355/j.cnki.sfyj.2025.02.016
Experiment Research

Design and Numerical Simulation of a Deep Learning-Based Model for Wet Metallurgical Parameter Prediction and Optimization

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