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- W2890875110 abstract "The paper focuses on using the firefly algorithm for designing the radial-basis neural networks. The firefly algorithm belongs to a family of the global optimization tools. The firefly algorithm is a nature-inspired and one of the most powerful algorithms for solving the NP-hard optimization problems. In the paper the firefly algorithm is used as a tool for designing of the RBF network, including estimation of its output weights and transfer function parameters. The details of the implementation are discussed. Computational experiment has been carried-out with a view to investigate effectiveness of the discussed implementation. Experiment results have confirmed usefulness of the proposed approach. Conclusions include suggestions for future research." @default.
- W2890875110 created "2018-09-27" @default.
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- W2890875110 date "2018-07-01" @default.
- W2890875110 modified "2023-10-12" @default.
- W2890875110 title "Firefly Algorithm for the RBF Network Design" @default.
- W2890875110 doi "https://doi.org/10.1109/inista.2018.8466264" @default.
- W2890875110 hasPublicationYear "2018" @default.
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