A Comparative Study on Supervised Machine Learning Algorithms for Copper Recovery Quality Prediction in a Leaching Process

A Comparative Study on Supervised Machine Learning Algorithms for Copper Recovery Quality Prediction in a Leaching Process

The copper mining industry is increasingly using artificial intelligence methods to improve copper production processes. Recent studies reveal the use of algorithms, such as Artificial Neural Network, Support Vector Machine, and Random Forest, among others, to develop models for predicting product q...

Full description

Bibliographic Details
Main Authors: Victor Flores, Claudio Leiva
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
data analysis
artificial intelligence
machine learning
knowledge engineering
computers and information processing
Online Access:https://www.mdpi.com/1424-8220/21/6/2119

Internet

https://www.mdpi.com/1424-8220/21/6/2119

Similar Items