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Applying Softcomputing for Copper Recovery in Leaching Process
Joint Authors
Flores, Victor
Leiva, Claudio
Pérez, Claudio Abraham Acuña
Salgado, Felipe
Poblete, Diego
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The mining industry of the last few decades recognizes that it is more profitable to simulate model using historical data and available mining process knowledge rather than draw conclusions regarding future mine exploitation based on certain conditions.
The variability of the composition of copper leach piles makes it unlikely to obtain high precision simulations using traditional statistical methods; however the same data collection favors the use of softcomputing techniques to enhance the accuracy of copper recovery via leaching by way of prediction models.
In this paper, a predictive modeling contrasting is made; a linear model, a quadratic model, a cubic model, and a model based on the use of an artificial neural network (ANN) are presented.
The model entries were obtained from operation data and data of piloting in columns.
The ANN was constructed with 9 input variables, 6 hidden layers, and a neuron in the output layer corresponding to copper leaching prediction.
The validation of the models was performed with real information and these results were used by a mining company in northern Chile to improve copper mining processes.
American Psychological Association (APA)
Leiva, Claudio& Flores, Victor& Salgado, Felipe& Poblete, Diego& Pérez, Claudio Abraham Acuña. 2017. Applying Softcomputing for Copper Recovery in Leaching Process. Scientific Programming،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1203453
Modern Language Association (MLA)
Leiva, Claudio…[et al.]. Applying Softcomputing for Copper Recovery in Leaching Process. Scientific Programming No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1203453
American Medical Association (AMA)
Leiva, Claudio& Flores, Victor& Salgado, Felipe& Poblete, Diego& Pérez, Claudio Abraham Acuña. Applying Softcomputing for Copper Recovery in Leaching Process. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1203453
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203453