C. Aldrich

发表

Modelling of induced aeration in turbine aerators by use of radial basis function neural networks

C. Aldrich, J. Deventer, 1995 .

The Relationship between Froth Image Features and Platinum Flotation Grade

C. Aldrich, C. Marais, 2010 .

Empirical comparison of tree ensemble variable importance measures

C. Aldrich, L. Auret, 2011 .

Ex situ diesel contaminated soil washing with mechanical methods

Chris Aldrich, D. Feng, L. Lorenzen, 2001 .

Plant-Wide Neurocontrol of the Tennessee Eastman Challenge Process Using Evolutionary Reinforcement Learning

C. Aldrich, A. Conradie, 2001 .

Monitoring of an industrial liquid-liquid extraction system with kernel-based methods

G. T. Jemwa, C. Aldrich, 2005 .

Treatment of acid mine water by use of heavy metal precipitation and ion exchange

Chris Aldrich, D. Feng, C. Aldrich, 2000 .

Influence of operating parameters on the flotation of apatite

C. Aldrich, D. Feng, 2004 .

Integrated comminution and flotation neurocontrol using evolutionary reinforcement learning

I. Nieuwoudt, C. Aldrich, A., 2003 .

Neurocontrol of a multi-effect batch distillation pilot plant based on evolutionary reinforcement learning

Chris Aldrich, C. Aldrich, A. Conradie, 2010 .

Effect of ultrasonication on the humic acids extracted from lignocellulose substrate decomposed by anaerobic digestion

C. Aldrich, B. Qi, L. Lorenzen, 2004 .

Identification of dynamic process systems with surrogate data methods

Chris Aldrich, J. P. Barnard, C. Aldrich, 2001 .

Observations on the effect of medium density and viscosity on the rate of induced aeration in agitated vessels

C. Aldrich, J. Deventer, 1994 .

Sonochemical treatment of simulated soil contaminated with diesel

C. Aldrich, D. Feng, 2000 .

Adsorption of heavy metals by biomaterials derived from the marine alga Ecklonia maxima

C. Aldrich, D. Feng, 2004 .

A comparison of the flotation of ore from the Merensky Reef after wet and dry grinding

C. Aldrich, D. Feng, 2000 .

VISUALIZATION OF PROCESS DATA WITH BIPLOTS

C. Aldrich, N. L. Roux, S. Gardner, 2003 .

Effects of impeller speed and aeration rate on flotation performance of sulphide ore

C. Aldrich, Xiao-sheng Yang, 2006 .

Detecting outliers in multivariate process data by using convex hulls

J. P. Barnard, C. Aldrich, 2000 .

Infrasonic backpulsed membrane cleaning of micro- and ultrafiltration membranes fouled with alumina and yeast

C. Aldrich, R. Sanderson, Em Shugman, 2013 .

Online monitoring and control of froth flotation systems with machine vision: A review

Chris Aldrich, Jan J. Cilliers, B. Shean, 2010 .

Relationship between solids flux and froth features in batch flotation of sulphide ore

C. Aldrich, Xiao-sheng Yang, 2005 .

Effect of Preconditioning on the Flotation of Coal

C. Aldrich, D. Feng, 2005 .

The adsorption of precious metals and base metals on a quaternary ammonium group ion exchange resin

C. Aldrich, L. Lorenzen, E. Els, 2000 .

Estimation of particle size in hydrocyclone underflow streams by use of Multivariate Image Analysis

C. Aldrich, F. Uahengo, Melissa Kistner, 2015 .

The adsorption of precious and base metals on XAD7 ion exchange resin

C. Aldrich, L. Lorenzen, E. Els, 2000 .

The recovery of palladium with the use of ion exchange resins

C. Aldrich, L. Lorenzen, E. Els, 1997 .

Removal of heavy metals from wastewater effluents by biosorptive flotation.

C. Aldrich, D. Feng, 2000 .

The application of neural nets in the metallurgical industry

Markus A. Reuter, Chris Aldrich, J.S.J. Van Deventer, 1994 .

Effect of ultrasonic treatment on zinc removal from hydroxide precipitates by dissolved air flotation

C. Aldrich, B. Qi, 2002 .

Effect of particle size on flotation performance of complex sulphide ores

Chris Aldrich, D. Feng, C. Aldrich, 1999 .

Ultrasonic defouling of reverse osmosis membranes used to treat wastewater effluents

Chris Aldrich, J.S.J. van Deventer, D. Feng, 2006 .

Improving process operations using support vector machines and decision trees

Chris Aldrich, G. T. Jemwa, C. Aldrich, 2005 .

Estimating size fraction categories of coal particles on conveyor belts using image texture modeling methods

Chris Aldrich, Gorden T. Jemwa, G. T. Jemwa, 2012, Expert Syst. Appl..

Removal of pollutants from acid mine wastewater using metallurgical by-product slags

Chris Aldrich, J.S.J. van Deventer, D. Feng, 2004 .

Overview of Process Fault Diagnosis

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Analysis of electrochemical noise data with phase space methods

Chris Aldrich, B. C. Qi, P. J. Botha, 2006 .

Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013, Advances in Computer Vision and Pattern Recognition.

Tree-Based Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Visualization of transformed multivariate data sets with autoassociative neural networks

Chris Aldrich, C. Aldrich, 1998, Pattern Recognit. Lett..

Process fault diagnosis using one-class support vector machines.

Chris Aldrich, G. T. Jemwa, C. Aldrich, 2007 .

Dynamic modelling of competitive elution of activated carbon in columns using neural networks

Chris Aldrich, J.S.J. Van Deventer, L. Lorenzen, 1995 .

On-line monitoring of hydrocyclones by use of image analysis.

Chris Aldrich, Lidia Auret, Vuuren M.J. Janse van, 2010 .

Diagnostic monitoring of internal combustion engines by use of independent component analysis and neural networks

Chris Aldrich, J. P. Barnard, C. Aldrich, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

A systematic methodology for empirical modeling of non-linear state space systems

Chris Aldrich, J. P. Barnard, C. Aldrich, 2001 .

Artificial Neural Networks

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Monitoring and control of hydrometallurgical processes with self-organizing and adaptive neural net systems

Chris Aldrich, D. W. Moolman, J.S.J. Van Deventer, 1995 .

Empirical modelling of chemical process systems with evolutionary programming

Chris Aldrich, D J Greeff, C. Aldrich, 1998 .

Development of an empirical model of a nickeliferous chromite leaching system by means of genetic programming

C. Aldrich, D. Greeff, 1998 .

Effect of ultrasonic preconditioning of pulp on the flotation of sulphide ores

C. Aldrich, D. Feng, 1999 .

Fault detection and diagnosis with random forest feature extraction and variable importance methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2010 .

The monitoring of froth surfaces on industrial flotation plants using connectionist image processing techniques

Chris Aldrich, D. W. Moolman, J.S.J. Van Deventer, 1995 .

Removal of heavy metal ions by carrier magnetic separation of adsorptive particulates

Chris Aldrich, C. Aldrich, D. Feng, 2000 .

Detecting faults in process systems with singular spectrum analysis

Chris Aldrich, S. Krishnannair, G. T. Jemwa, 2016 .

Root cause analysis of process fault conditions on an industrial concentrator circuit by use of causality maps and extreme learning machines

Chris Aldrich, J.W.D. Groenewald, C. Aldrich, 2015 .

Multiscale Process Monitoring with Singular Spectrum Analysis.

Chris Aldrich, G. T. Jemwa, Syamala Krishnannair, 2007 .

Effect of Ultrasonication on the Flotation of Talc

C. Aldrich, D. Feng, 2004 .

Interpretation of nonlinear relationships between process variables by use of random forests

Chris Aldrich, Lidia Auret, C. Aldrich, 2012 .

Statistical process monitoring of a base metal flotation plant using a Gaussian mixture model and dissimilarity scale based singular spectrum analysis

Chris Aldrich, Syamala Krishnannair, C. Aldrich, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Fault detection in the Tennessee Eastman benchmark process with nonlinear singular spectrum analysis

Chris Aldrich, S. Krishnannair, C. Aldrich, 2017 .

Estimation of Particulate Fines on Conveyor Belts by Use of Wavelets and Morphological Image Processing

Chris Aldrich, Anthony Amankwah, C. Aldrich, 2011 .

The significance of flotation froth appearance for machine vision control

Chris Aldrich, D. W. Moolman, J.S.J. Van Deventer, 1996 .

Adaptive Control Utilising Neural Swarming

Risto Miikkulainen, Christiaan Aldrich, Alex v. E. Conradie, 2002, GECCO.

ANN-DT: an algorithm for extraction of decision trees from artificial neural networks

Chris Aldrich, F. S. Gouws, Gregor P. J. Schmitz, 1999, IEEE Trans. Neural Networks.

Machine Learning Strategies for Control of Flotation Plants

Chris Aldrich, D. W. Moolman, F. S. Gouws, 1995 .

An experimental investigation of foaming in acidic, high FexO slags

C. Aldrich, J. Eksteen, S. Stadler, 2007 .

Physical modelling of slag foaming in two-phase and three-phase systems in the churn-flow regime

Chris Aldrich, Jacques Eksteen, C. Aldrich, 2006 .

Identification of nonlinearities in dynamic process systems

Chris Aldrich, J P Theron, C. Aldrich, 2004 .

Unsupervised Process Fault Detection with Random Forests

Chris Aldrich, Lidia Auret, C. Aldrich, 2010 .

Neurocontrol of a ball mill grinding circuit using evolutionary reinforcement learning

Chris Aldrich, A.V.E. Conradie, C. Aldrich, 2001 .

Process system identification strategies based on the use of singular spectrum analysis

Chris Aldrich, M. Barkhuizen, C. Aldrich, 2003 .

Classification of process dynamics with Monte Carlo singular spectrum analysis

Chris Aldrich, Gorden T. Jemwa, G. T. Jemwa, 2003, Comput. Chem. Eng..

Process Monitoring Using Multiscale Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Simulated Neurocontrol of an autogenous mill with evolutionary reinforcement learning.

Chris Aldrich, Jacques Eksteen, A.V.E. Conradie, 2007 .

Fluoride based control of Ca and Mg concentrations in high ionic strength base metal sulphate solutions in hydrometallurgical circuits

C. Aldrich, J. Eksteen, L. Lorenzen, 2008 .

Change point detection in time series data with random forests

Chris Aldrich, Lidia Auret, C. Aldrich, 2010 .

Online Analysis of Coal on A Conveyor Belt by use of Machine Vision and Kernel Methods

M. J. Keyser, G. T. Jemwa, C. Aldrich, 2010 .

Kernel-based fault diagnosis on mineral processing plants

Chris Aldrich, G. T. Jemwa, C. Aldrich, 2006 .

Batch flotation of a complex sulphide ore by use of pulsated sparged air

C. Aldrich, D. Feng, 2000 .

Biplot analysis of process systems

Chris Aldrich, S. Gardner, N. J. Le Roux, 2005 .

Recent advances in flotation froth image analysis

C. Aldrich, É. Avelar, Xiu Liu, 2022, Minerals Engineering.

Flotation froth image recognition with convolutional neural networks

Chris Aldrich, Yihao Fu, C. Aldrich, 2019, Minerals Engineering.

Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing

Chris Aldrich, Lidia Auret, John T. McCoy, 2017 .

The interpretation of flotation froth surfaces by using digital image analysis and neural networks

Chris Aldrich, D. W. Moolman, J.S.J. Van Deventer, 1995 .

The classification of froth structures in a copper flotation plant by means of a neural net

Chris Aldrich, D. W. Moolman, J.S.J. Van Deventer, 1995 .

Digital image processing as a tool for on-line monitoring of froth in flotation plants

Chris Aldrich, D. W. Moolman, J.S.J. Van Deventer, 1994 .

Froth image analysis by use of transfer learning and convolutional neural networks

Chris Aldrich, Y. Fu, C. Aldrich, 2018 .

Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors

Chris Aldrich, Yihao Fu, C. Aldrich, 2018 .

Observations on the separation of iron ore in a prototype batch jig

Chris Aldrich, Lidia Auret, Andrei Kolesnikov, 2013 .

Analysis of ore particles based on textural pattern recognition

Chris Aldrich, K.R.P. Petersen, J.S.J. van Deventer, 1998 .

Recovery of chromite fines from wastewater streams by column flotation

C. Aldrich, D. Feng, 2004 .

Monitoring of mineral processing systems by using textural image analysis

Chris Aldrich, G. T. Jemwa, Melissa Kistner, 2013 .

Estimation of platinum flotation grades from froth image data

Chris Aldrich, C. Marais, C. Aldrich, 2011 .

The Application of Classification Methods to the Gross Error Detection Problem

C. Aldrich, L. Auret, E. Gerber, 2014 .

Automatic estimation of rock particulate size on conveyer belt using image analysis

Chris Aldrich, Anthony Amankwah, C. Aldrich, 2011, International Conference on Graphic and Image Processing.

The use of neural nets to detect systematic errors in process systems

Chris Aldrich, J.S.J. Van Deventer, C. Aldrich, 1993 .

Recognition of flotation froth conditions with k-shot learning and convolutional neural networks

C. Aldrich, Xiu Liu, 2023, Journal of Process Control.

Fault Detection and Identification in an Acid Gas Removal Unit Using Deep Autoencoders

C. Aldrich, H. Zabiri, Xiu Liu, 2023, ACS omega.

Operational state detection in hydrocyclones with convolutional neural networks and transfer learning

Chris Aldrich, K. C. Giglia, C. Aldrich, 2020 .

Multivariate image analysis of realgar–orpiment flotation froths

Chris Aldrich, Warren J. Bruckard, David I. Verrelli, 2018 .

A k-Shot Learning Approach to Recognition of Flotation Froth Conditions with Convolutional Neural Networks

C. Aldrich, Xiu Liu, 2022, IFAC-PapersOnLine.

Monitoring of Flotation Systems by Use of Multivariate Froth Image Analysis

C. Aldrich, Xiu Liu, 2021 .

Process Variable Importance Analysis by Use of Random Forests in a Shapley Regression Framework

Chris Aldrich, C. Aldrich, 2020, Minerals.

Use of Decision Trees for the Development of Decision Support Systems for the Control of Grinding Circuits

Chris Aldrich, Jacques Olivier, C. Aldrich, 2021, Minerals.

Visualization of the controller states of an autogenous mill from time series data

Chris Aldrich, J. J. Burchell, J. W. de V. Groenewald, 2014 .

Flotation Froth Image Analysis by Use of a Dynamic Feature Extraction Algorithm

Chris Aldrich, Yihao Fu, C. Aldrich, 2016 .

Deep Learning Approaches to Image Texture Analysis in Material Processing

C. Aldrich, Xiu Liu, 2022, Metals.

Intelligent process control utilising symbiotic memetic neuro-evolution

Chris Aldrich, Av.E. Conradie, R. Miikkulainen, 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

CLUSTER ANALYSIS OF MINERAL PROCESS DATA WITH AUTOASSOCIATIVE NEURAL NETWORKS

C. Aldrich, CHRIS ALDRICH, 2000 .

Early Detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals

L. Auret, C. Aldrich, L. Auret, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

Development of neurocontrollers with evolutionary reinforcement learning

Christiaan Aldrich, Alex v. E. Conradie, C. Aldrich, 2005, Comput. Chem. Eng..

Discovering Process Improvement Opportunities with Support Vector Machines and Decision Trees

G. T. Jemwa, C. Aldrich, 2004 .

DEVELOPMENT OF ONLINE INDUCTIVE SYSTEMS USING SUPPORT VECTOR MACHINES

C. Aldrich, 2003 .

Identification of chaotic process systems with least squares support vector machines

Chris Aldrich, G. T. Jemwa, C. Aldrich, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Statistical Learning Theory and Kernel-Based Methods

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .

Rule-based characterization of industrial flotation processes with inductive techniques and genetic algorithms

Chris Aldrich, F. S. Gouws, C. Aldrich, 1996 .

Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices

C. Aldrich, L. Auret, 2011 .

Process data visualisation with biplots

Chris Aldrich, S. Gardner, N. J. Le Roux, 2005 .

Application of unthresholded recurrence plots and texture analysis for industrial loops with faulty valves

C. Aldrich, H. Zabiri, J. Olivier, 2022, Soft Computing.

Dynamic Monitoring of Grinding Circuits by Use of Global Recurrence Plots and Convolutional Neural Networks

Chris Aldrich, Jacques Olivier, C. Aldrich, 2020, Minerals.

Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series

Chris Aldrich, C. Aldrich, 2019, Time Series Analysis - Data, Methods, and Applications.

Fault Diagnosis in Steady-State Process Systems

Chris Aldrich, Lidia Auret, C. Aldrich, 2013 .