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The interrelationship between surface froth characteristics and industrial flotation performance
Abstract This paper discusses the rapid development in computer technology and neural networks that are used to transform recently developed concepts and available technology into a new generation ofExpand
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Neurofuzzy modeling of chemical process systems with ellipsoidal radial basis function neural networks and genetic algorithms
Non-parametric methods for the construction of empirical process models have been used successfully in a variety of contexts in the field of process engineering. Despite their ability to formExpand
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ANN-DT: an algorithm for extraction of decision trees from artificial neural networks
TLDR
A novel artificial neural-network decision tree algorithm extracts binary decision trees from a trained neural network without making assumptions about the internal structure of the neural network or the features of the data. Expand
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Combinatorial evolution of regression nodes in feedforward neural networks
TLDR
A novel evolutionary optimisation scheme called CERN (combinatorialevolution of regressionnodes) is therefore proposed which uses a special form of combinatorial search to optimise groups of neural nodes. Expand
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Machine Learning Strategies for Control of Flotation Plants
Abstract Although flotation processes are notoriously difficult to model from first principles, knowledge-based systems can be used to great advantage to monitor and control plants, provided thatExpand
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Machine Learning Strategies for Control of Flotation Plants
Abstract Although flotation process are notoriously difficult to model from first principles, knowledge-based systems can be used to great advantage to monitor and control plants, provided thatExpand