title: A neural network for the optimization of fed-batch glutamic acid production.
abstract: A neural network system, which is composed of a simulation subnetwork and an optimization subnetwork, was constructed to predict and optimize the industrial fed-batch fermentation of glutamic acid. A data-compression and filtration network structure was incorporated into the simulation subnetwork to extract "noise-free" patterns from the input signals. The sole-variant optimization and the multiple-variant optimization can be easily carried out by the neural network developed. A satisfactory result has been achieved.
authors: Department of Biochemical Engineering, Tianjin University, China.
authors: Z
authors: Z
authors: Miao
authors: L
authors: L
authors: Zhao
authors: Y
authors: Y
authors: Yuan
mesh_terms: D003198:Computer Simulation; D005285:Fermentation; D018698:Glutamic Acid / Q000096:biosynthesis*; D016571:Neural Networks, Computer
chemical_list: D018698:Glutamic Acid