Hybrid Serving of DOE and RNN-Based Methods to Optimize and Simulate a Copper Flotation Circuit

Hybrid Serving of DOE and RNN-Based Methods to Optimize and Simulate a Copper Flotation Circuit

Prediction of metallurgical responses during the flotation process is extremely vital to increase the process efficiency using a proper modeling approach. In this study, two new variants of the recurrent neural network (RNN) method were used to predict the copper ore flotation indices, i.e., grade a...

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Bibliographic Details
Main Authors: Alireza Gholami, Meysam Movahedifar, Hamid Khoshdast, Ahmad Hassanzadeh
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Minerals
Subjects:
copper ore flotation
recurrent neural network
predictive geometallurgy
long short-term memory (LSTM)
gated recurrent unit (GRU)
Online Access:https://www.mdpi.com/2075-163X/12/7/857

Internet

https://www.mdpi.com/2075-163X/12/7/857

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