Assessment of uncertainty in grade-tonnage curves of a multivariate lateritic bauxite deposit through min/max autocorrelation factor transformation

QR Code

Assessment of uncertainty in grade-tonnage curves of a multivariate lateritic bauxite deposit through min/max autocorrelation factor transformation

Assessing uncertainty in grade-tonnage curves is rather crucial in resource estimation, as these curves provide information on how much ore within the deposit is above/below a given cut-off grade value. Conditional simulation algorithms can provide robust quantification of the ore production by gene...

Full description

Bibliographic Details
Main Authors:	Erten, Oktay, Kizil, M., Beamish, B., McAndrew, L.
Format:	Conference Paper
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/53165

Similar Items

Incorporating fine-scale ground-penetrating radar data into the mapping of lateral variability of a laterite-type bauxite horizon
by: Erten, Oktay, et al.
Published: (2015)

Spatial Prediction of Lateral Variability of a Laterite Type Bauxite Horizon Using Ancillary Ground Penetrating Radar Data
by: Erten, Oktay, et al.
Published: (2013)

Characterisation of a laterite-type bauxite orebody geometry using a plurigaussian simulation approach
by: Erten, Oktay, et al.
Published: (2015)

Automatic parameter tuning of multiple-point statistical simulations for lateritic bauxite deposits
by: Dagasan, Y., et al.
Published: (2018)

Transition from open-pit to underground – using Integer Programming considering grade uncertainty
by: Chung, Joyce Sze Yee, et al.
Published: (2015)

Min-max optimal control of linear systems with uncertainty and terminal state constraints
by: Wu, C., et al.
Published: (2013)

Physiochemical characterization of lateritic bauxite mining soil
by: N. I., N. Ismai, et al.
Published: (2021)

Material handling management in the iron ore supply chain process to meet grade and tonnage requirements
by: Parra Trouchina, Oscar Javier
Published: (2024)

Development of a Grade Control Technique Optimizing Dilution and Ore Loss Trade-off in Lateritic Bauxite Deposits
by: Dagasan, Yasin
Published: (2018)

Max-average: an extended max-min scheduling algorithm for Grid computing environtment
by: Maipan-uku, J. Y., et al.
Published: (2016)

An adaptive fuzzy min-max conflict-resolving classifier
by: Tan, , Shing Chiang, et al.
Published: (2006)

Pilot Point Optimization of Mining Boundaries for Lateritic Metal Deposits: Finding the Trade-off Between Dilution and Ore Loss
by: Dagasan, Y., et al.
Published: (2019)

Joint conditional simulation of an iron ore deposit using Minimum or Maximum Autocorrelation Factor transformation
by: Mai, N., et al.
Published: (2014)

A smoothing scheme for optimization problems with max-min constraints
by: Huang, X., et al.
Published: (2007)

Modern fuzzy min max neural networks for pattern classification
by: Al Sayaydeh, Osama Nayel Ahmad
Published: (2019)

Analysis on Misclassification in Existing Contraction of Fuzzy Min–max Models
by: Alhroob, Essam, et al.
Published: (2020)

Application Of The Fuzzy Min-Max Neural Networks To Medical Diagnosis.
by: Quteishat, Anas Mohammad Ali, et al.
Published: (2008)

Increment of Steel Tonnage for Reinforced Concrete School Building Considering Seismic Design
by: H. A., Roslan, et al.
Published: (2019)

Multicasting MIMO Relay Optimization Based on Min-Max MSE Criterion
by: Khandaker, Muhammad, et al.
Published: (2012)

A class of max-min optimal control problems with applications to chromatography
by: Loxton, Ryan, et al.
Published: (2012)

A Max–Min Control Problem Arising in Gradient Elution Chromatography
by: Chai, Q., et al.
Published: (2012)

An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017)

Robust estimation technique and robust autocorrelation diagnostic for multiple Linear Regression Model with autocorrelated errors
by: Lim, Hock Ann
Published: (2014)

An offspring of multivariate extreme value theory: the max-characteristic function
by: Falk, Michael, et al.
Published: (2017)

Fuzzy Min Max Neural Network for pattern classification: An overview of complexity problem
by: Al Sayaydeh, Osama Nayel, et al.
Published: (2018)

A flexible enhanced fuzzy min-max neural network for pattern classification
by: Alhroob, Essam, et al.
Published: (2024)

A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru
by: Rahmad Ramadhan, Laska, et al.
Published: (2024)

Flexible enhanced fuzzy min–max neural network model for pattern classification problems
by: Al-Hroob, Essam Muslem Harb
Published: (2020)

A survey of fuzzy min max neural networks for pattern classification: variants and applications
by: Al Sayaydeh, Osama Nayel, et al.
Published: (2018)

A new minimum pheromone threshold strategy (MPTS) for max-min ant system
by: Wong, Kuan Yew, et al.
Published: (2009)

Parametric estimation for randomly censored autocorrelated data.
by: Sithole, Moses M.
Published: (1997)

A multidimensional data descriptor tool based on fuzzy min max neural network algorithm
by: Fatin Nurjannah, Salauddin
Published: (2018)

Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
by: F. M., Mohammed
Published: (2014)

The cumulative capacitated vehicle routing problem with min-sum and min-max objectives: An effective hybridisation of adaptive variable neighbourhood search and large neighbourhood search
by: Jeeu, Fong Sze, et al.
Published: (2017)

Analysis of autocorrelation function of Boolean functions in Haar domain
by: Rafiq, Hashum M., et al.
Published: (2016)

Behaviour of Stock Return Autocorrelation in the GCC Stock Markets
by: Chowdhury, H., et al.
Published: (2014)

The effect of high leverage points on non-autocorrelated data.
by: Midi, Habshah

On the robust parameter estimation for linear model with autocorrelated errors
by: Midi, Habshah, et al.
Published: (2013)

SAIRF: A similarity approach for attack intention recognition using fuzzy min-max neural network
by: Ahmed, Abdulghani Ali, et al.
Published: (2018)

A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification
by: Alhroob, Essam, et al.
Published: (2019)

Cannot write session to /tmp/vufind_sessions/sess_98p2rbvul9otr2phd2mvvmh79e