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Genetic algorithm-artificial neural network model for the prediction of germanium recovery from zinc plant residues
(Maney Publishing, 2002-09)
A multi-layer, feed-forward, back-propagation learning algorithm was used as an artificial neural network (ANN) tool to predict the extraction of germanium from zinc plant residues by sulphuric acid leaching. A genetic ...
Phase II benchmark control problem for seismic response of cable-stayed bridges
This paper presents the problem definition for the second generation of benchmark structural control problems for cable-stayed bridges. The goal of this study is to provide a testbed for the development of strategies for ...