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In addition, in[16 18] a functional WZ implementation approximation was used, which was far from realistic.
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For practical implementation, the approximation based on three angular intervals is chosen.
During implementation, the approximation of the order of the actuator may lead to deviation of the performance of the system from its specifications.
We provide convergence conditions for the numerical scheme and suggest an implementation using approximate approximations for spatial discretization to efficiently resolve the coupling of temporal and spatial accuracy.
However, for their implementation, proper approximations have to be designed.
As its practical implementations require approximations, its use trades efficiency for accuracy.
Approaches that relate learning features to the membrane potential of the post-synaptic neuron have emerged as possible alternatives to the more common STDP rule, with various implementations and approximations.
The statistical models employed by Gene Mark and AUGUSTUS involve implementations or approximations of an HMM with duration (HMMD), where state durations are not restricted to be geometric, as in the standard HMM modeling (further details are given in the background section to follow).
Table 4 shows the computing time for three different implementations: our PPI approximation in Section 3, an FPGA-based implementation presented in [20], and the FPGA-based implementation proposed in Section 4 of this paper.
Contrary to other approaches, other than for the digital implementation, no delay approximation is used.
A modification of this theory is presented in this paper allowing its implementation with C0 approximation functions.
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