A hybrid prediction model with a selectively updating strategy for iron removal process in zinc hydrometallurgy
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s11432-018-9711-2.pdf
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1. A Fuzzy Control Method Based on Rule Extraction for Zinc Leaching Process of Zinc Hydrometallurgy;Mining, Metallurgy & Exploration;2023-06-03
2. Hybrid modeling and distributed optimization control method for the iron removal process;Journal of Industrial and Management Optimization;2023
3. A Review: Modeling of pH Probability Density Distribution in Zinc Hydrometallurgy Based on Gaussian Mixture Model;JOM;2022-02-07
4. A goethite process modeling method by Asynchronous Fuzzy Cognitive Network based on an improved constrained chicken swarm optimization algorithm;Journal of Industrial & Management Optimization;2021
5. Asynchronous Fuzzy Cognitive Networks Modeling and Control for Goethite Iron Precipitation Process;Journal of Systems Science and Complexity;2020-08-04
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