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Our work is based on the universal function approximation capacity of neural networks.
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Table 2 Results obtained using optimization approach, with and without (hat {Delta v}) approximation, for capacity game Grid points where solution was found Percent Optimization approach 103 iterations 5 6.2 104 iterations 7 8.7 105 iterations 33 40.7 Optimization approach, (hat {Delta v}) approximation 103 iterations 11 13.6 104 iterations 44 54.3 105 iterations 73 90.1.
However, as long as demand for community beds is at least equal to supply, the measure was considered a reasonable approximation of capacity and therefore a likely proxy for local area need.
The next subsection will present the approximation of ergodic capacity and propose the ergodic capacity-based mode switching.
Thus, to provide an approximation of this capacity, Arc's Measure of Self-Determination (capacity to determine their own fate) [ 46], Self-Efficacy for Managing Chronic Disease (capability to perform in a goal-directed manner) [ 53], and Partners in Health (PIH) self-management questionnaire (the ability to participate in the management of one's health condition) [ 45] will be used.
Considering the objective function is non-convex for the PHY constraints, [9] takes use of the link capacity approximation and replaces it into the objective function, which is cited from the rate approximation inequality in [10, 11].
close-form approximation for outage capacity.
The high SNR capacity approximation can be used to derive the generalized degrees-of-freedom (GDoF).
Fig. 5 Tightness of ergodic capacity approximation in the proposed scheme.
Using high SNR capacity approximation, we state the GDoF region as follows.
When Ma < Na, the achievable capacity approximation is modified as R s appro ≈ W C iso , (29).
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