Neural network modeling of batch cell growth pattern.
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.
Syu
M J
MJ
School of Chemical Engineering and Laboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana 47907-1295, USA.
Tsao
G T
GT