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The functioning of the proposed methodology is illustrated with the help of a simple forest management problem.
The absolute attenuation coefficient found by this multi-layer model resulted in comparable values with the former studies of van Soest et al. [ 14] and Xu et al. [ 12] indicating proper functioning of the proposed methodology.
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Finally, we conduct an experimental analysis with the proposed methodology using six well-known benchmark databases of software projects, where two relevant performance metrics and a fitness function are used to assess the performance of the proposed methodology, which is compared to classical machine learning models presented in the literature.
Fig. 5 Framework of the proposed methodology.
This work also highlights the effectiveness of the proposed methodology.
These trials show the practical usefulness of the proposed methodology.
Section 4 is the detail of the proposed methodology.
The simulation studies prove the efficiency of the proposed methodology.
All these results demonstrate effectiveness of the proposed methodology.
Figure 1 Flow chart of the proposed methodology.
These test results illustrate strong robustness of the proposed methodology.
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