Design of experiment (DOE) applied to artificial neural network architecture enables rapid bioprocess improvement

Modern bioprocess development employs statistically optimized design of experiments (DOE) and regression modeling to find optimal bioprocess set points. Using modeling software, such as JMP Pro, it is possible to leverage artificial neural networks (ANNs) to improve model accuracy beyond the capabil...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodriguez-Granrose, Daniel, Jones, Amanda, Loftus, Hannah, Tandeski, Terry, Heaton, Will, Foley, Kevin T., Silverman, Lara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144078/
https://www.ncbi.nlm.nih.gov/pubmed/33638725
http://dx.doi.org/10.1007/s00449-021-02529-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8144078/
https://www.ncbi.nlm.nih.gov/pubmed/33638725
http://dx.doi.org/10.1007/s00449-021-02529-3

Ejemplares similares