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The neural network can be trained to predict the impact of changes in set-points on future room temperatures.
The simulation results have shown that a two-layer back-propagation neural network, which has a tan-sigmoid transfer function in the hidden layer and a linear transfer function in the output layer, could be trained to predict piggery odour concentrations with high value of the correlation coefficient R of 0·984 under the best network performance.
We first assessed whether the integrative model could be trained to predict gene expression abundances across samples.
Once the phenotypes are measured, a regression model can be trained to predict GEBV of individuals that have not been phenotyped.
The LMH code would be trained to predict medium for both tissues, whereas this tissue difference code would predict that t j has increased inclusion relative to t i.
Although, here, we present an application to SH3 domains, the method is general and can thus be trained to predict any protein peptide interaction for which high-throughput data exists.
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The first prediction model is trained to predict night time light intensity from source image data.
Then for each cluster, ANN and ANFIS models were trained to predict GL and CC values.
The network was trained to predict the formability index, triaxial stress ratio parameters and axial strain.
Artificial neural networks (ANN) have also been trained to predict AA levels, generally with better results.
Google Now is trained to predict when a person is about to take certain actions and offer help accordingly.
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be trained to recognize
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be trained to wear
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be trained to spot
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be trained to understand
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