Sentence examples for non-linear adaptation from inspiring English sources

Exact(3)

For example, non-linear adaptation effects can also be observed when some jitter is introduced in the stimulation train [36] (see Fig. 4).

Taken together, our results therefore suggest that the assumed non-linearity between transient and steady-state responses [1], [3], [6] may rather be at the level of the non-linear adaptation phenomena that influence transient responses.

(Mutation-selection balance is a more mainstream term for the "non-linear adaptation" argument touched on above and briefly by the authors in the Introduction).

Similar(57)

The solution was able to provide a good non-linear regression estimation along with adaptation capabilities to changing conditions.

An average VQM score of 10.252 is obtained using the proposed algorithm based on non-parametric regression and exponential non-linear regression (PA), 18.294 without adaptation (WA), and 17.180 using buffer algorithm based on BUP.

The proponents of the translation-error hypothesis reasonably counter the above objections by showing that the distribution of the code error scores (fitness values) has a Gaussian-like shape where the better, more robust codes form a long tail such that the process of adaptation is non-linear, so approaching the absolute minimum is highly improbable [ 14, 30, 40, 41].

The approach has also been compared with a non-linear Influence Coefficient Matrix (ICM) based adaptation method and the advantages and disadvantages of the two adaptation methods have been compared with each other.

Sciarrino's own adaptation produces a non-linear narrative, a dramatic monologue for solo female performer and ensemble.

In this paper, a Genetic Algorithm (GA) based non-linear gas turbine design-point performance adaptation approach has been presented to best estimate the unknown component parameters and match available design-point engine performance.

An average PSNR of 30.6923 dB was observed using the proposed algorithm with non-parametric exponential non-linear regression (PA), 20.44 dB without adaptation (WA), and 24.65456 dB using buffer algorithm based on BUP approach.

However, considerations such as this, or deriving alternative closure of moments of the CME to account for non-linear terms, will greatly enhance future adaptation studies.

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