A Stochastic Model Approach for Copper Heap Leaching through Bayesian Networks

A Stochastic Model Approach for Copper Heap Leaching through Bayesian Networks

Multivariate analytical models are quite successful in explaining one or more response variables, based on one or more independent variables. However, they do not reflect the connections of conditional dependence between the variables that explain the model. Otherwise, due to their qualitative and q...

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Bibliographic Details
Main Authors: Manuel Saldaña, Javier González, Ricardo I. Jeldres, Ángelo Villegas, Jonathan Castillo, Gonzalo Quezada, Norman Toro
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Metals
Subjects:
bayesian networks
uncertainty analysis
stochastic process modelling
heap leaching
Online Access:https://www.mdpi.com/2075-4701/9/11/1198

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