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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...
Autores principales: | Borujeni, Masoud Salehi, Ghaderi-Zefrehei, Mostafa, Ghanegolmohammadi, Farzan, Ansari - Mahyari, Saeid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Genetic Engineering and
Biotechnology
2018
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Materias: | |
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 |
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