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During the backward pass the Benders cuts are constructed in order to enhance the approximation of the future cost functions t + 1.
The gradient of the discrete action functional is obtained through the functional derivative and the moving mesh technique is employed to enhance the approximation accuracy.
Furthermore, more sophisticated algorithms may be used to enhance the approximation of lower order partial correlations or the inference of the ordering of the nodes.
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Although there is no theoretical reason for adopting the exponential function in Eq. (21), we empirically found this style of function enhanced the approximation of temporal rate changes, especially for values close to zero.
The simulation results indicate decrease in estimation error values that depicts its ability to enhance the function approximation capability and consequently exhibits excellent learning ability compared to the conventional back-propagation neural network with sigmoid or other activation functions.
The simulation results indicate decrease in estimation error values that depicts its ability to enhance the function approximation capability and consequently exhibits excellent learning ability compared to the conventional neural network with sigmoid or other activation functions.
To enhance the quality of approximation, the Rayleigh quotient is approximated in terms of some intermediate variables, using the two-point approximation.
Then extra construction parameters for the input or output joint variables are introduced in order to increase the design points and hence enhance the accuracy of approximation.
Based on the Richardson extrapolation technique and interpolation theory, in 2017, Pan proposed a mid-point extrapolation technique to enhance the accuracy of approximations on fine grid directly and cheaply (see [33] for details).
Scaffolding biomaterials filled with laminin or laminin-rich biomaterials which can aid in the guidance of growing nerve fibers along appropriate paths could be used to enhance the precision of stump approximation.
The third one is a finite element recovery method which enhances the eigenpair approximations with small extra work.
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