Sentence examples for simulation errors is from inspiring English sources

In the AHGA, a weighted sum of scaled simulation errors is designed as an overall objective function to measure the fitness of solutions (i.e., parameter values).

The simulation errors were estimated and compared favorably with real-world headlight brightness variability.

During our evaluation, the needle positioning error was found to be within 0.153±0.042 mm of desired placement; the phantom simulation errors were within 0.693±0.128 mm.

Simulation errors were small despite the high sensitivity of the water balance model to precipitation, which in the historical period was that of a non-local station.

Because measurement and simulation errors are unavoidable, we usually prefer robust models and robust parameter settings.

The (f=5) PRISM simulation error is approximately 0.005% for all scattering angles, indicating that this simulation is essentially error-free.

It is clear that the simulation error is in the range of 0 20% (Table 5), which is acceptable for numerical simulations.

For a comparison the parameters are also estimated by an output error method, where the sum of squared simulation error is minimized.

The model-based error is the square root of the average of 1,000 squared estimated SEs of the pooled risk estimates, whereas the simulation error is the SD of 1,000 pooled risk estimates.

Example outputs are shown and sources of simulation error are quantified.

Further, a derivation of confidence intervals for Subset Simulation relative errors is presented.