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If, as a substitute for the usual input data, random numbers (or results due to chance) are provided, the combination of input data and automaton is no longer completely predictable.
From the plots, the optimum combination of input parameters can be obtained.
The best combination of input parameters can also be evaluated by ANN.
A combinatorial circuit produces a unique output for every combination of input signals.
In greedy optimization [32], the cross-validated RMSE is optimized using a linear combination of input model predictions.
Under this architecture, the output approximating function is the nonlinear combination of input feature vector with internal tunable weight vector.
This allows for input contraction at a given output level, output expansion at a given input level, or a combination of input contraction and output expansion.
The method iteratively creates components, which are linear combination of input variables, with a goal of maximising variance and correlation with the output variable.
For each lead time forecasting, the proposed model can subjectively determine the optimal combination of input variables including rainfall and meteorological parameters.
However, the use of the optimal combination of input variables determined by the proposed model yields more accurate forecasts than the use of all input variables.
The analytical model is developed to optimize the coil turns, conductor radius and airgap length with the combination of input current and voltage.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com