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We configure the MCPC CAZAC parameters at each time step of the tracking scenario to minimize the predicted tracking error.
The ant colony optimization algorithm is used to minimize the predicted induced damage during a low velocity drop weight impact event on a dispersed panel.
In order to further improve tracking performance, we adaptively select the parameters of the MCPC CAZAC transmit waveform at each time step k so that we can minimize the predicted tracking root mean-squared error (RMSE).
The resources are allocated in order to minimize the predicted value of either the economic losses, the number of endangered persons or the risk of severance of a network.
In summary, the possibility of choosing the parameters Θ = (Q,M,ζ) of an MCPC CAZAC waveform, and also rotating the entire AF surface by choosing to take the FT of the waveform, enables us to position sidelobes in order to minimize the predicted MSE, as we will show in Section "Adaptive waveform selection".
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Park et al. (2001b) also examined the relationship between airborne and house-dust endotoxin and developed a prediction model for airborne endotoxin using internal cross-validation by minimizing the predicted residual error sum of squares (PRESS statistic) (Allen 1971; Svendsgaard et al. 1997).
A one-stage solution is formulated that minimizes the marginal distribution differences while minimizing the predicted classification error in the target domain using a nearest neighbor classifier.
We outlined a configuration strategy for selecting the parameter values of MCPC waveforms to position AF sidelobes such that weak targets are unmasked by minimizing the predicted MSE.
In Section "IP-LPF algorithm", we provide a detailed description of the IP-LPF algorithm and its application in minimizing the predicted tracking error.
The number of factors chosen is usually the one that minimizes the predicted residual sum of squares (PRESS) [ 13].
Although it is preferable to minimize the prediction error instead of predicting the error, the problem of minimization of the prediction error is as difficult as numerical weather prediction.
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