Sentence examples for sensitivity estimation from inspiring English sources

The formulae of the reliability sensitivity estimation, the variance and the coefficient of variation are derived for the presented SISM.

Some aspects of characteristic exponents and sensitivity estimation from problems with complex conjugated modes, which are typical of mechanical and aerospace systems, are discussed.

Typical current vs. pH response measured with standard buffer solutions (pH 4.0, 7.0, and 9.0) was in the range of 15 to 20 μA/pH, which gives us primary pH sensitivity estimation of approximately 50 mV/pH.

An ANN is constructed and trained using original model samples, which can then be used as a surrogate model to generate numerous samples for a global sensitivity analysis with Sobol' sensitivity estimation or RS-HDMR.

In the regime of linear responses, i.e., for weak stimulation, we used an alternative method of sensitivity estimation [28]: the external force was zero mean broadband Gaussian noise with the standard deviation σ s, band-limited to the cutoff frequency of fc = 200 Hz, Fext(t) = s(t).

In order to accelerate the convergence speed, the artificial neural networks (ANN) methodology is applied into two widely used quantitative sensitivity analysis methods in the present work, i.e. the Sobol' sensitivity estimation and the random sampling high dimensional model representations (RS-HDMR).

In our synthesis, most sensitivity estimations were low [ 22- 27, 30, 32, 33].

Modeling and sensitivity estimations will provide a basis for considering and comparatively analysing results.

High specificity and sensitivity for estimation of the abundance of acetogens were confirmed analysis of a collection of acetogens, clone libraries and melting curves.

Here, a new approach to sensitivity index estimation using meta-models and bootstrap confidence intervals is described that provides solutions to these drawbacks.

This procedure guards against sensitivity of estimation of ω values to a single branch model.