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...
Hlavní autoři: | Manuel Saldaña, Javier González, Ricardo I. Jeldres, Ángelo Villegas, Jonathan Castillo, Gonzalo Quezada, Norman Toro |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
MDPI AG
2019-11-01
|
Edice: | Metals |
Témata: | |
On-line přístup: | https://www.mdpi.com/2075-4701/9/11/1198 |
Podobné jednotky
-
Gangues and Clays Minerals as Rate-Limiting Factors in Copper Heap Leaching: A Review
Autor: Norman Toro, a další
Vydáno: (2021-09-01) -
A Decision Support System for Changes in Operation Modes of the Copper Heap Leaching Process
Autor: Manuel Saldaña, a další
Vydáno: (2021-06-01) -
Study on migration and adhesion of fine particles in the pores of a heap leaching system
Autor: Wei CHEN, a další
Vydáno: (2024-06-01) -
Investigation of Liquid Channeling in Heap by Tracer Test
Autor: Tatsuya SHINKAWA, a další
Vydáno: (2017-12-01) -
Effects of Pregnant Leach Solution Temperature on the Permeability of Gravelly Drainage Layer of Heap Leaching Structures
Autor: mehdi amini
Vydáno: (2013-12-01)