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Volumn 7, Issue 1, 2001, Pages 41-48

Probabilistic neural networks using Bayesian decision strategies and a modified Gompertz model for growth phase classification in the batch culture of Bacillus subtilis

Author keywords

Bayesian strategy; Bioprocess monitoring; Fermentation; Growth kinetics; Modeling; Probabilistic neural networks

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACILLUS SUBTILIS; BACTERIAL GROWTH; BAYES THEOREM; FERMENTATION; GROWTH CURVE; MATHEMATICAL MODEL; NONHUMAN; OPTICAL DENSITY; PRIORITY JOURNAL; PROBABILITY;

EID: 0035139570     PISSN: 1369703X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1369-703X(00)00102-9     Document Type: Article
Times cited : (29)

References (14)
  • 1
    • 0027338535 scopus 로고
    • Application of an on-line turbidity for the automation of fed-batch cultures
    • (1993) Biotechnol. Prog. , vol.9 , pp. 81-85
    • Yamane, T.1
  • 3
    • 0343487874 scopus 로고    scopus 로고
    • Cell size distribution as a parameter for the predetermination of exponential growth during repeated batch cultivation of CHO cells
    • (1997) Biotechnol. Bioeng. , vol.55 , pp. 793-797
    • Seewoster, T.1    Lehman, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.