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The unsupervised approach consists on setting the weights and biases to values that minimize a predefined error function.
The trained ANN is then used to adapt the parameters in such a way to minimize a predefined cost function.
Parameter estimation techniques are then utilized to find the values of these parameters that minimize a predefined objective function.
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Then the switching action that minimizes a predefined cost function is selected to be applied in the next sampling instant.
The corresponding grading functions are obtained solving an underlying optimization problem that minimizes a predefined objective function characterized by an equivalent stress quantity.
However, the ultimate purpose of state estimation problems is to achieve at each node an estimate that minimizes a predefined cost function, which does not necessarily require that all nodes provide the same result.
The LCMV beamformer uses the covariance matrix of the single-trial signal data to construct a spatial filter that passes the signals for each time point to a predefined source while minimizing the contribution of other sources.
These latter minimize predefined figures of merit relying on the sum of squared errors.
The objective function is designed to minimize the overall spatial response of the beamformer with a constraint on the gain being smaller than a predefined threshold value across a specific frequency range and at a specific angle.
First, we formulate an MILP model that accounts for the substitution relations between the types and minimizes the total direct rail car cost under given rail car availability constraints and a predefined maximum number of types.
A preventive re-dispatch of generators to ensure a predefined minimum critical clearing time for faults at all buses is proposed, while costs are minimized.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com