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In the given sentence, we can expand on the topic of using Particle Swarm Optimization (PSO) for training Fuzzy Neural Networks (FNN). PSO is a metaheuristic optimization algorithm inspired by the social behavior of bird flocking or fish schooling. It is commonly used in various optimization problems, including training FNNs. FNNs, on the other hand, are computational models that combine the principles of fuzzy logic and artificial neural networks. They are particularly useful for handling uncertainty and imprecise data. Therefore, the utilization of PSO for training FNNs can enhance the learning process and improve the overall performance of the network.