title: Neural network modeling of batch cell growth pattern.
abstract: The capability of neural networks in modeling batch cell growth by providing initial conditions only is tested in this study. The neural network tested is of the back-propagation-type including a newly discovered saturation-type transfer function. The simulation and prediction results of this neural network modeling will be demonstrated.
authors.affiliation: School of Chemical Engineering and Laboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana 47907-1295, USA.
authors.forename: M J
authors.initials: MJ
authors.lastname: Syu
authors.forename: G T
authors.initials: GT
authors.lastname: Tsao