Exact(5)
The algorithm is defined in an evolving dynamic environment with semiautonomous neurofuzzy agents.
The FAST_PPR algorithm is defined in four distinct steps.
From a global (network) point of view, the algorithm is defined in Algorithm 1.
Based on Eq. (1), the general form of non-parametric ACE algorithm is defined in the following form: theta (Y) = alpha + sumlimits_{i = 1}^{p} {phi (X_{i} ) + varepsilon }, (2)in which (theta (Y), phi_{1} (X_{1} ), ldots, phi_{p} (X_{p} )) are the arbitrary measurable mean-zero functions of (Y,,X_{1},, X_{2}, ldots,X_{p}}), respectively.
The biorthogonal Fourier transform (BFT) and its inverse conversion algorithm is defined in [29, 30] (or refer to [28]): begin{aligned} text{BFT}[f(t)]triangleq F beta) & =2{intnolimits}_{0}^{+infty}f(t texpleft -jbeta t texpleft -jbetat^{2}right dttext{IBFT}[eq F beta =frac{1}{2pi}{intnolimits}_{-infty}^{+infty}F(beta)expleft(jbeta t^{2}right)dbeta end{aligned} (2).
Similar(55)
The merging algorithm was defined in a way that made it possible to incorporate machinery and technical management constraints.
The proposed formal model and composition algorithm are defined in "Adaptive processes composition".
The control parameters of the algorithm are defined in the data file that uses the INI-format.
The preconditioning algorithms are defined in the form of both a V-cycle and W-cycle and applied to solve challenging neutron diffusion problems.
The step sizes for CAPC-x algorithms are defined in Eqs.
Finally, grouping algorithms are defined in this survey as the ones which analyze images in order to find similarities between them.
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