Support Vector Regression Approach to Predict the Design Space for the Extraction Process of Pueraria lobata

A support vector regression (SVR) method was introduced to improve the robustness and predictability of the design space in the implementation of quality by design (QbD), taking the extraction process of Pueraria lobata as a case study. In this paper, extraction time, number of extraction cycles, an...

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Detalles Bibliográficos
Autores principales: Wang, Yaqi, Yang, Yuanzhen, Jiao, Jiaojiao, Wu, Zhenfeng, Yang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222814/
https://www.ncbi.nlm.nih.gov/pubmed/30241281
http://dx.doi.org/10.3390/molecules23102405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6222814/
https://www.ncbi.nlm.nih.gov/pubmed/30241281
http://dx.doi.org/10.3390/molecules23102405

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