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- W2036687544 abstract "In this paper an ART2 classifier is used to extract local models of a database taken from a greenhouse. Once the clusters are formed, multilayer feed-forward neural networks are then trained to model each cluster (subsystem) in order to achieve a multiple neural control of the greenhouse. The considered control strategy consists of the division of the greenhouse control phase in periods where a suitable controller is selected to drive the internal climate of the greenhouse, which is modeled with an Elman neural network. The same ART2 classifier is then used as a supervisor to select the suitable neural controller corresponding to the appropriate mode." @default.
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- W2036687544 date "2014-09-01" @default.
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- W2036687544 title "Multiple neural control of a greenhouse" @default.
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- W2036687544 doi "https://doi.org/10.1016/j.neucom.2014.02.052" @default.
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