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Four parameters selected by the heuristic method (HM) are used to perform the studies of multiple linear regression (MLR) and support vector machine (SVM).
Seven molecular descriptors selected by the heuristic method (HM) were used as inputs to perform multiple linear regression (MLR), support vector machine (SVM) and projection pursuit regression (PPR) studies.
Fig. 5 Adjusting the desired UAV position, determined by the heuristic method, to keep all users in Tx range of the UAV 1.
If the desired UAV position determined by the heuristic method is inside the containing circle, then it is guaranteed that all users will be within the transmission range of the UAV.
Molecular descriptors selected by the heuristic method (HM) in CODESSA were used as inputs to perform multiple linear regression (MLR), which is the simplest method that builds a single regression equation for a given data set.
More precisely, the heuristic method and approximation algorithm produce a throughput improvement of 20.9 and 31.6%, respectively, when the number of users is 2, and it becomes 7.86 and 13.9%, respectively, when the number of users is 20. Figure 9 shows the percentage increases in throughput produced by the heuristic method and the approximation algorithm.
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Positions determined by the heuristic methods have a better estimated throughput than the initial position's but not the maximum throughput.
Given the ansatz, equation (3), we can see that the heuristic method guarantees, by construction, that f ^ → | Ω → ∞ = f →.
Based on extensive simulations we evaluate our exact approach in comparison to the heuristic method proposed by Ideker et al. (2002).
This new method is an improvement on the heuristic method developed previously by the authors, because the C-space representation enables an automatic layout design system to conduct a more systematic search among all of the feasible designs.
Results show the heuristic method can improve performance by 89.47% as compared to round-robin scheduling at relays and is within a 5% gap to optimal scheduling.
More suggestions(16)
by the trapezoidal method
by the heuristic flexibility
by the heuristic model
by the scientific method
by the heuristic parameter
by the heuristic search
by the heuristic optimization
by the horizontal method
by the heuristic choice
by the heuristic self-organization
by the heuristic character
by the average method
by the heuristic condition
by the ΔΔCt method
by the heuristic clustering
by the heuristic function
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