Yüklüyor......
Memory-assisted reinforcement learning for diverse molecular de novo design
In de novo molecular design, recurrent neural networks (RNN) have been shown to be effective methods for sampling and generating novel chemical structures. Using a technique called reinforcement learning (RL), an RNN can be tuned to target a particular section of chemical space with optimized desira...
Kaydedildi:
| Yayımlandı: | J Cheminform |
|---|---|
| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer International Publishing
2020
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7654024/ https://ncbi.nlm.nih.gov/pubmed/33292554 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-020-00473-0 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|