The Use of Neural Networks in Combination with Evolutionary Algorithms to Optimise the Copper Flotation Enrichment Process

The paper presents a way of combining neural networks with evolutionary algorithms in order to find optimal parameters of the copper flotation enrichment process. The neural network was used in order to build a model describing the flotation process. The network learning was carried out with the use...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Dariusz Jamróz, Tomasz Niedoba, Paulina Pięta, Agnieszka Surowiak
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Subjects:	genetic algorithms neural network optimisation evolutionary algorithms flotation copper ore
Online Access:	https://www.mdpi.com/2076-3417/10/9/3119