The lead recovery prediction from lead concentrate by an artificial neural network and particle swarm optimization
Author:
Affiliation:
1. Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
2. Department of Mining Engineering, Imam Khomeini International University, Qazvin, Iran
Publisher
Informa UK Limited
Subject
Pollution,Waste Management and Disposal,Environmental Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/12269328.2019.1644205
Reference28 articles.
1. Extraction of lead from galena concentrates using fluosilicic acid and peroxide
2. Prediction of blast-induced air overpressure: a hybrid AI-based predictive model
3. Artificial neural network training using a new efficient optimization algorithm
4. A study of dissolution kinetics of a Nigerian galena ore in hydrochloric acid
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