title: [The medium optimization of xylitol fermentation based on neural networks and genetic algorithms].
abstract: Using genetic algorithms(GA) for medium optimization of xylitol fermentation, and coupling neural networks model for predicting xylitol concentration is introduced. The medium compose determined by GA is as input data of the neural networks, while the output data predicted by neural networks is as suitable value of GA for predicting. The optimum medium is further validated by experimentation. The good result, which save the experimental workload and charge, enhance the level of xylitol fermentation as well as reduced the medium consume is obtained.
authors.affiliation: College of Chemical Engineering, Tianjin University, Tianjin 300027.
authors.forename: B S
authors.initials: BS
authors.lastname: Fang
authors.forename: H W
authors.initials: HW
authors.lastname: Chen
authors.forename: X L
authors.initials: XL
authors.lastname: Xie
authors.forename: N
authors.initials: N
authors.lastname: Wan
authors.forename: Y X
authors.initials: YX
authors.lastname: Mei
authors.forename: Z D
authors.initials: ZD
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D002175:Candida / Q000378:metabolism; D003470:Culture Media; D005285:Fermentation; D005823:Genetics; D008433:Mathematics; D016571:Neural Networks, Computer; D014993:Xylitol / Q000378:metabolism*
chemical_list: D003470:Culture Media; D014993:Xylitol