Sentence examples for reproduced output from inspiring English sources

As a result, by applying a magnetic field of 40 Oe only between adjacent channels, the crosstalk was much decreased without reducing the reproduced output.

Characteristics of crosstalk in the reproduced output of our head have been estimated by a micromagnetic calculation using the Landau Lifshitz Gilbert (LLG) equation, while the specimen head was fabricated and evaluated.

Following the construction phase of the networks, the output was reproduced (network output) and the network was trained on input and output data until the deviation of the network output from the actual output was very small.

It is important to note that both the GUI and command-line tool output a project XML file that contains enough information to reproduce any output or intermediate outputs.

The circuit successfully reproduced the outputs of a digital optimization program, converging to within 4.8% RMS, and an objective cost only 1.7% higher on average.

In order to reproduce an output target profile, feedforward controllers yield an excellent performance, however their robustness against disturbances and parameter variations is limited.

Effectively this optimization procedure amounts to solving the inverse problem, whereby the measured mRNA output is known and attempts are made to infer the model parameters that most closely reproduce that output.

The objective of the method is reproducing the output dynamics of the WF under the variation of the wind speed and power grid faults.

The standalone networks once trained using the numerical outcome can reproduce such output well over future time without using variety of data and computational resources required for running the numerical model on a continuous basis.

To approximately reproduce the output of dynamic simulators, we consider emulators that are based on a system of linear, ordinary or partial stochastic differential equations with a noise term formulated as a Gaussian process of the parameters to be emulated.

A neural network with mixed order weights, n neurons and a modified Hebbian learning rule can learn any function f:{−1,1}n→R and reproduce its output as the network׳s energy function.