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Thus, every model developed has been trained with different sets of data.
The multilayer feed forward neural network with three inputs and one output has been trained with different algorithms and different numbers of neurons in the hidden layer.
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Each of these models was trained with different parameter values.
A number of models were trained with different misclassification cost settings.
Recall that the SVM classifiers were trained with different data sets.
Both GMM and MLP models are trained with different context sizes for fair comparison.
Working with time series flow data of the Sutlej River at Bhakra Dam, India, several ANN and adaptive neuro-fuzzy models are trained with different input vectors.
First, one pair of responses was trained with different outcomes and then extinguished prior to the training and subsequent extinction of a second pair of responses.
All networks in an ensemble have the same architecture (same number of neurons and descriptor inputs) but are trained with different subsets of the shared training pool.
A neural network model was trained with different combinations of dimensions, and eight types of safety checks were performed on all of them.
The multiple acoustic models were trained with different acoustic features and model architectures which helped to provide complementary and discriminative information in the ROVER process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com