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In addition, our proposed OIPPS with optimal price has a more stable convergence than the fixed price scheme in [2].

The results show that the distributed SA algorithm implemented on a network of PCs can reduce the computational requirement significantly, and yield more stable convergence histories.

LMA is considered one of the most efficient training algorithms; the study of Hagan and Menhaj (1994) proved that LMA is faster and has more stable convergence as compared to gradient descent algorithm.

To obtain a more stable convergence, the short-time Fourier transform (STFT) is used to convert the convolution in Equation 1 to multiplications in the frequency domain [5]: X j ω, k = A j i ω S i ω, k, j = 1, …, N, (2).

We show how our method ensures improved estimations with faster and more stable convergence.

Finally, the use of regularization significantly improved the performance of the optimization method, resulting in faster and more stable convergence.

Similar(51)

The Southworth Hawkins and Jopek D-criteria are more stable and have good convergence.

The momentum parameter is believed to render the training process more stable and to accelerate convergence in shallow regions of the error function.

These techniques result in a convergence process more stable compared with that of the Learning Real-Time A∗ algorithm.

A structured loss function defined over positive pairs and hard negatives is proposed to formulate a novel optimization problem so that fast convergence and more stable optimized solution can be attained.

Moreover, for the presented application the convergence analysis shows more stable sensitivity coefficients for the Extended-FAST method compared to SRC and Morris screening.

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