A neurocontrol paradigm for intelligent process control using evolutionary reinforcement learning by Conradie, Alex van Eck

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Analysis of process data with singular spectrum methods by Barkhuizen, Marlize

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Detecting change in nonlinear dynamic process systems by Bezuidenhout, Leon Christo

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Multivariate nonlinear time series analysis of dynamic process systems by Jemwa, Gorden Takawadiyi

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Modelling of process systems with genetic programming by Lotz, Marco

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Diagnostic monitoring of dynamic systems using artificial immune systems by Maree, Charl

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Non-linear neurocontrol of chemical processes using reinforcement learning by Hunter, Stephen Leon

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Investigating the effect of coarse particle addition on the measured rheological parameters of fine clay slurries by Paulsen, Eric

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Modelling of mass transfer in packing materials with cellular automata by Engelbrecht, Alma Margaretha

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Detecting change in complex process systems with phase space methods by Botha, Paul Jacobus

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Change-point detection in dynamical systems using auto-associative neural networks by Bulunga, Meshack Linda

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Removal of organic foulants from capillary ultrafiltration membranes by use of ultrasound. by Nel, A. M.

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Analysis and modelling of mining induced seismicity by Bredenkamp, Ben

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Improved feed utilisation in cage aquaculture by use of machine vision by Dunn, Zelda

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Cleaning of micro- and ultrafiltration membranes with infrasonic backpulsing. by Shugman, Emad Musbah

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Monitoring and diagnosis of process systems using kernel-based learning methods by Jemwa, Gorden Takawadiyi

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Simulation of a palladium extraction circuit by Du Toit, Zita

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Cluster analysis and classification of process data by use of principal curves by Van Coller, Cornelia Susanna

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Empirical state space modelling with application in online diagnosis of multivariate non-linear dynamic systems by Barnard, Jakobus Petrus

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Exploratory data analysis and empirical modelling of stationary processes by use of genetic programming by Chemaly, Timothy Paul

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