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This optimal model was selected after several evaluations based on minimizing of mean square error (MSE), correct classification rate (CCR) and coefficient of correlation (r).
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As shown by Åström et al. (Automatica 34 5) (1998) 585), the problem of designing a stabilizing PI controller based on minimizing integral of error associated with step load disturbance while subjecting to constraints on maximum sensitivity and/or complementary sensitivity amounts to that of finding the maximum allowable integral gain.
The measurement matrix design for all cases was proposed based on minimizing MC of sensing matrix using gradient descent algorithm.
To further simplify, we propose an alternative power allocation method based on minimizing the sum of inverse of SNRs, for which closed-form expression can be obtained.
Estimating the optimal s0 for a particular dataset can be based on minimizing the coefficient of variation of the absolute t-statistic values ("SAM") [ 19], minimizing false positive and false negative estimates obtained through permutation ("SAMroc") [ 16], or simply choosing s0 as the 90th percentile of the σM values [ 20].
Least squares analysis involves the principle of optimization of the estimate based on minimizing the sum of the squared differences from the values predicted by the model.
The method is based on minimizing the coherence of the submatrix of the unitary discrete fourier transform (DFT) matrix associated with the pilot subcarriers.
Considering the sparsity of force in the time domain or in other basis space, we develop a general sparse regularization method based on minimizing l1-norm of the coefficient vector of basis functions.
The proposed optimal design of harmonic filter is based on minimizing the cost of the filter parameters and its losses.
The optimum number of neurons and transfer functions for the hidden layer was determined based on minimizing the value of the mean squared error (MSE) of the training and prediction datasets.
In this paper, the problem of deterministic pilot allocation in OFDM systems is considered and a new criterion which is based on minimizing the summation of the correlations between the columns of the Discrete Fourier Transform (DFT) sub-matrix is proposed.
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