Fuzzy Regression Modeling of Batch Cultivation of Lactose Utilising Yeast's Using Nefrit

Autor:	L. Losseva, C. Katranoushkova, S. Vassileva, B. Tzvetkova
Rok vydání:	1998
Předmět:	Fuzzy rule Batch fermentation business.industry Biomass Regression analysis Yeast Biotechnology chemistry.chemical_compound Fuzzy regression chemistry Yield (chemistry) Lactose business Biological system Mathematics
Zdroj:	Biotechnology & Biotechnological Equipment. 12:130-134
ISSN:	1314-3530 1310-2818
DOI:	10.1080/13102818.1998.10819006
Popis:	The lactose utilization and biomass production by C. blankii 35 and C. pseudotropicalis 11 in batch fermentation was investigated. It was found that the yield of biomass produced by oxidative C. blankii 35 was better with 31.2% than that of C. pseudotropicalis 11. The fuzzy rule-based non—linear regression analysis was implemented by using a software program NEFRIT (Nonlinear Effective Fuzzy Regression Identification Tool) for modeling of the specific growth rate μ (h−1) of the studied processes. NEFRIT is based on a sub-optimal identification procedure for building a non-linear model involving fuzzy regression coefficients.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d2cf8d0ced3395f953ba538382d6b296 https://doi.org/10.1080/13102818.1998.10819006 Zobrazit plný text záznamu