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The loading functions are recovered by optimizing a set of proposed error (objective) functions.
The conventional least square error objective function is replaced by a new approximate least absolute error (ALAE) function to restrain the influence of impulse noise.
The control relevant method studied in this paper minimizes a multistep ahead prediction error objective function, suitable for model predictive controllers, to obtain an optimal multistep ahead predictor.
Model parameter estimates were obtained (using the fmincon function in MATLAB) by minimizing the sum-of-squared-errors objective function.
This fact leads to stiffness problems in the optimization procedure, which are partially solved in [ 4] by using an alternative error objective for the mAb concentration.
In our approach, the partition in simpler PSO problems solves uniformly this issue, using the same error objective for the entire set of parameters.
In the synthetic case, five additional boreholes were designated based on high grade and estimation error objectives that intersect two parts of the ore body.
As this formulation favors heterozygous allele combinations because of spurious hits (e.g. from sequencing errors), the objective function was extended with a regularization term accounting for homozygosity where n l o c i describes the number of loci (here n l o c i = 6 ).
In a formal Neyman-Pearson test it can be argued that judgments about error probabilities reflect objective error frequencies.
Learning is achieved by stochastic gradient-descent using a mean-squared error training objective.
The error or objective function has a controlling parameter wt which controls the amount of ripple in the desired band of frequency.
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CEO of Professional Science Editing for Scientists @ prosciediting.com