Design of Neural Network Controller Based on Rule Encoded by Rough Sets
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Graphical Abstract
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Abstract
The control rules for encoding neural sub-networks are generated by rough sets. The neural sub-networks are evolved and combined into an integrated neural network by genetic algorithm. Such neural network can be used as a controller for control systems online. The simulation results prove the effectiveness of the control mechanism.
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