Introduction to the Special Issue “Advances in Computational Intelligence Applications in the Mining Industry”

Rajive Ganguli,Sean Dessureault,Pratt Rogers

doi:10.3390/min12010067

Abstract

This is an exciting time for the mining industry, as it is on the cusp of a change in efficiency as it gets better at leveraging data [...]

Highlights

Introduction to the SpecialIssue “Advances in Computational Intelligence Applications in the Mining Industry”Rajive Ganguli 1,*, Sean Dessureault 2 and Pratt Rogers 1Citation: Ganguli, R.; Dessureault, S.; Rogers, P
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. This is an exciting time for the mining industry, as it is on the cusp of a change in efficiency as it gets better at leveraging data
The utilization of data typically involves developing models that are used to better understand mining processes, with a variety of computational intelligence (CI) techniques being at the forefront of methods used to develop models

Summary

Introduction

Introduction to the SpecialIssue “Advances in Computational Intelligence Applications in the Mining Industry”Rajive Ganguli 1,* , Sean Dessureault 2 and Pratt Rogers 1. This is an exciting time for the mining industry, as it is on the cusp of a change in efficiency as it gets better at leveraging data. The utilization of data typically involves developing models that are used to better understand mining processes, with a variety of computational intelligence (CI) techniques being at the forefront of methods used to develop models. Many papers in this issue make excellent use of these techniques to advance the state of the industry.

Results

Conclusion