Leaching rate prediction for multimodal hydrometallurgical leaching process based on data- driven compensatory modeling
Author:
Affiliation:
1. Northeastern University,College of Information and Engineering,Shenyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587864.pdf?arnumber=10587864
Reference11 articles.
1. Technology development for rare earth cleaner hydrometallurgy in China
2. Research and development trends of hydrometallurgy: An overview based on Hydrometallurgy literature from 1975 to 2019
3. A critical review of the thermodynamics of hydrogen cyanide and copper(I)–cyanide complexes in aqueous solution
4. Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network
5. A Hybrid Model for Predicting the End-Point Phosphorus Content of Electric Arc Furnace
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