Načítá se...
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...
Uloženo v:
| Vydáno v: | Computational Science – ICCS 2020 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
|
| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302572/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50426-7_42 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|