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Neural network modeling of batch cell growth pattern
Author(s) -
Syu MeiJywan,
Tsao George T.
Publication year - 1993
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260420315
Subject(s) - artificial neural network , computer science , biological system , transfer function , backpropagation , neural cell , artificial intelligence , network model , biochemical engineering , chemistry , biology , cell , engineering , biochemistry , electrical engineering
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. © 1993 John Wiley & Sons, Inc.