THE FUZZY NEURAL NETWORK CONTROLLER IN YEAST FED-BATCH FERMENTATION

Autor:	Ying-Jin Yuan, Shu-Ying Li, Zhi-Qi Miao
Rok vydání:	1999
Předmět:	Engineering Fuzzy neural network controller Artificial neural network business.industry Control theory General Chemical Engineering Control system Fermentation General Chemistry Fuzzy control system business Fuzzy logic Yeast
Zdroj:	Chemical Engineering Communications. 174:167-183
ISSN:	1563-5201 0098-6445
DOI:	10.1080/00986449908912794
Popis:	On the basis of the optimized substrate feeding rate of glucose acquired from an artificial neural network model of yeast fed-batch fermentation, an adaptive fuzzy neural network controller (FNNC) was developed, and on-line experiments were performed to examine the feasibility of the controller for actual use. The objective is to obtain a high concentration of cell mass in the shortest fed-batch culture time. Experimental results reveal that FNNC-controlled on-line feeding of substrate performs well.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f896fd38ef7caf1798d3aa1739783860 https://doi.org/10.1080/00986449908912794 Zobrazit plný text záznamu