The irregular doping is carefully designed in the proposed optimization algorithm for error floor removal, which leads to a further improvement of the error performance.
Furthermore, only one fuzzy controller used has ensured the regulation of the DC bus voltage, the minimization of the undulations for the two partial voltages and the improvement of the error of the voltage balance for the Vienna rectifier.
As a result, the evaluation on the HACDB database to deal with character level shows an improvement of classification error rate when using DBN trained with dropout or dropconnect.
The improvement of roundness error in counter-clockwise (CCW) direction is from 0.151 mm by default, being 0.140 mm by TPID (Taguchi PID; without grey system), and 0.133 mm by TGPID.
In order to widen the engineering application of 3D overconstrained linkages, their strict overconstrained geometric conditions are expected to be eliminated for improvement of fabrication error tolerance so as to facilitate mass production, which requests to find the non-overconstrained forms of the overconstrained linkages.
While in SDM [8], independent data streams are sent from the different antennas in order to increase the transmission rate, in STBC [9, 10] the multiple transmission elements are used to implement a space-time code targeting the improvement of the error rate performance with respect to that achieved with single-antenna transmission.
In this paper, we describe how the framework serves as a conceptual foundation for system-wide safety measurement, monitoring and improvement of diagnostic error.
Contrary, we only assume that uniform refinement of the triangulation T ℓ leads to a uniform improvement of the error, see our statement of the saturation assumption in (31).
We additionally find that including the drift prior on antigenic locations often results in greater predictive power, with a slight improvement of test error for the A/H1N1, B/Vic, and B/Yam datasets (Table 1).
Indeed, even for the training errors in the bottom three rows in both tables (these were obtained from data of the three systems with large omega values: −20 and +20 for repression and activation, respectively), we cannot find a general improvement of training error for increasing omega intervals.
