Yüklüyor......
Synchrony based learning rule of Hopfield like chaotic neural networks with desirable structure
In this paper a new learning rule for the coupling weights tuning of Hopfield like chaotic neural networks is developed in such a way that all neurons behave in a synchronous manner, while the desirable structure of the network is preserved during the learning process. The proposed learning rule is...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer Netherlands
2013
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3945457/ https://ncbi.nlm.nih.gov/pubmed/24624234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11571-013-9260-2 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|