A Novel LSSVM Based Algorithm to Increase Accuracy of Bacterial Growth Modeling

BACKGROUND: The recent progress and achievements in the advanced, accurate, and rigorously evaluated algorithms has revolutionized different aspects of the predictive microbiology including bacterial growth. OBJECTIVES: In this study, attempts were made to develop a more accurate hybrid algorithm fo...

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Detalles Bibliográficos
Autores principales: Borujeni, Masoud Salehi, Ghaderi-Zefrehei, Mostafa, Ghanegolmohammadi, Farzan, Ansari - Mahyari, Saeid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Institute of Genetic Engineering and Biotechnology 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371636/
https://www.ncbi.nlm.nih.gov/pubmed/30805384
http://dx.doi.org/10.21859/ijb.1542

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371636/
https://www.ncbi.nlm.nih.gov/pubmed/30805384
http://dx.doi.org/10.21859/ijb.1542

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