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To enforce constraint satisfaction under numerical errors, we adopt tools from forward error analysis to compute an error bound on the output of the embedded controller.
To enforce constraint satisfaction under numerical errors, we use forward error analysis to compute an error bound on the output of the embedded controller.
The detailed method to compute an error using the central limit theorem is derived in [ 14].
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In each presentation, the output of the neural network is compared to the desired output, thereby computing an error signal.
Additionally, the decoder performs a carrier-to-interference and noise ratio (CINR) estimation based on the demodulated data symbols by computing an error vector magnitude (EVM) measurement.
The prototype implementation computes an error estimate based on the NRMSE of predictions in the past window and uses that as a weighting parameter when determining how to blend the predicted and observed utilization of the monitored resources, as explained in Load Prediction section.
This process is repeated B times; the mean of the covariance matrices is now the substitute to use in computing an error of AGB via (2).
The process is repeated ten times and the ten model error rates are averaged to compute an overall error rate.
To map the value of the above approximation error E to an interpretable scale between 0 and 1, we compute an additional error measure which we refer to as the fraction of oligonucleotides unexplained (FOU).
The SNR gap is computed considering an error probability P e = 10-6.
In comparison with the modern accepted figure of, the density of the Earth had been computed with an error of less than 20%.
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