A combined approach of generalized additive model and bootstrap with small sample sets for fault diagnosis in fermentation process of glutamate

BACKGROUND: Glutamate is of great importance in food and pharmaceutical industries. There is still lack of effective statistical approaches for fault diagnosis in the fermentation process of glutamate. To date, the statistical approach based on generalized additive model (GAM) and bootstrap has not...

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Detalles Bibliográficos
Autores principales: Liu, Chunbo, Pan, Feng, Li, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966594/
https://www.ncbi.nlm.nih.gov/pubmed/27472926
http://dx.doi.org/10.1186/s12934-016-0528-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966594/
https://www.ncbi.nlm.nih.gov/pubmed/27472926
http://dx.doi.org/10.1186/s12934-016-0528-1

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