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Neural Fusion in groups. All groups are then fused, and the frogs are sorted according to an established rule. Moreover, the frog population is divided based on the established rules, and the overall information exchange is achieved using this method until the number of iterati Neural Fusion ons are equal to the maximum iterations N (Li et al., 2018). FIGURE 3 www.frontiersin.org Figure 3. The flowchart of the shuffled frog leaping algorithm. F(x) is defined as a fitness function and Ω is a feasible domain. In each iteration, Pg is  https://maxhealthness.com/neural-fusion/

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