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

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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Bibliographic Details
Main Authors: Yaqi Wang, Yuanzhen Yang, Jiaojiao Jiao, Zhenfeng Wu, Ming Yang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Molecules
Subjects:
Pueraria lobata
SVR
QPM
extraction process
QbD
design space
Online Access:http://www.mdpi.com/1420-3049/23/10/2405

Internet

http://www.mdpi.com/1420-3049/23/10/2405

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