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The use of location-specific rather than average predictions reduced prediction errors in most cases.
For example, changing from 2-way to 4-way makes the number of index table entries reduced by half and, thus, yields relatively reduced prediction accuracy.
Secondly, binding of erroneous input and desired output contributes to better convergence in terms of reduced prediction error when using the NN for unseen data.
The proposed framework outperformed a single artificial neural network in terms of reduced prediction error, program execution time and improved correlation coefficient as a result of application of the MANN concept.
In view of this, there is the need for the hybridization of those techniques with traits that are strong enough to be used to complement the performance of other techniques for increased performance in terms of higher prediction accuracies, reduced prediction errors, and faster execution.
There, for example, one can observe that for Americans Laplacian approach has reduced prediction error than PCA and sparse Laplacian has even no prediction errors.
Similar(40)
In order to extend the predicted area and reduce prediction uncertainty, additional samples are needed.
This blur permits the judicious use of reduced resolution reference pictures for prediction without significantly reducing prediction quality.
That means the proposed predictor can better reduce prediction errors.
STKT can reduce prediction errors in practically and statistically significant ways.
Improving the understanding of subsurface systems and thus reducing prediction uncertainty requires collection of data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com