Harnessing Data Augmentation and Normalization Preprocessing to Improve the Performance of Chemical Reaction Predictions of Data-Driven Model

As a template-free, data-driven methodology, the molecular transformer model provides an alternative by which to predict the outcome of chemical reactions and design the route of the retrosynthetic plane in the field of organic synthesis and polymer chemistry. However, in consideration of the small...

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Detalles Bibliográficos
Autores principales: Zhang, Boyu, Lin, Jiaping, Du, Lei, Zhang, Liangshun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180765/
https://www.ncbi.nlm.nih.gov/pubmed/37177370
http://dx.doi.org/10.3390/polym15092224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10180765/
https://www.ncbi.nlm.nih.gov/pubmed/37177370
http://dx.doi.org/10.3390/polym15092224

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