Sentence examples for propagating input from inspiring English sources

Therefore, carrying out control rod worth uncertainty quantification is urgent but full of challenges, especially for application of a feasible method for propagating input uncertainties to control rod worth.

As explained in [ 13], by propagating input signals along the logical (hyperarc) connections (which is equivalent to compute the logical steady state resulting from the input stimuli) we obtain the qualitative response of the network.

The beneficial role for noise that we identify here differs from these phenomena in that it emerges through interactions between populations of neurons and because the grid cell attractor network performs a computation generation of a spatial code from velocity inputs rather than propagating input signals.

In data-intensive scenarios, BOINC is unable to quickly propagate input files that are shared by many clients, for example [12, 13].

Finally, a model for predicting the residual PAA concentration was obtained and validated; uncertainty analysis was also performed by a series of Monte Carlo simulations to propagate input uncertainties to the model output.

For the uncertainty analysis, the Monte Carlo procedure is used to propagate input uncertainty, while for sensitivity analysis, global methods including the standardized regression coefficients (SRC) and Morris screening are used to identify the most significant parameters.

The fully trained teacher network is then used to provide soft targets for training examples from data set B by forward propagating each input in order to obtain the outputs which will serve as labels for the corresponding input.

It propagates an input through the network, then propagates back the error and adjusts the weights to minimize the error.

During neural network computation, waves of activation propagate from input nodes to output nodes, as determined by weighted connections between nodes.

The Simplex-Stochastic Collocation (SSC) method is a robust tool used to propagate uncertain input distributions through a computer code.

Naturally this approach imposes the drawback of time required to propagate the input data between all the processing units, but our tests with a computer cluster have shown that this time is not very significant in terms of the whole segmentation time.