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Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-adaptive Firefly Algorithm
Functional networks are a powerful extension of neural networks where the scalar weights are replaced by neural functions. This paper concerns the problem of parametric learning of the associative model, a functional network that represents the associativity operator. This problem can be formulated...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Computational Science – ICCS 2020 |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302572/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50426-7_42 |
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