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Updated: Jul 2, 2025

Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
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Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores

Published on: December 6, 2015

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机器学习方法 (人工神经网络) 和缩核心模型在 (II) 和铜 (II) 出过程中的应用

Machodi Mathaba1, JeanClaude Banza1

  • 1Department of Chemical Engineering, Faculty of Engineering and the Built Environment, University of Johannesburg, Doornfontein, Johannesburg, South Africa.

Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
|February 26, 2024
PubMed
概括

这项研究通过人工神经网络 (ANN) 和收缩核心模型来增强铜和的回收. 机器学习优化了漏参数,实现了两种金属95%以上的回收.

关键词:
人工神经网络的人工神经网络算法算法是一种算法.反向传播的反向传播科巴尔特是什么? 科巴尔特是什么?铜铜 铜铜的铜.机器学习是机器学习.

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