Neural network modeling of batch cell growth pattern

Mei‐Jywan ‐J Syu; George T. Tsao

doi:10.1002/bit.260420315

Neural network modeling of batch cell growth pattern

Mei‐Jywan ‐J Syu, George T. Tsao

Department of Chemical Engineering

Research output: Contribution to journal › Article › peer-review

46 Citations (Scopus)

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. © 1993 John Wiley & Sons, Inc.

Original language	English
Pages (from-to)	376-380
Number of pages	5
Journal	Biotechnology and Bioengineering
Volume	42
Issue number	3
DOIs	https://doi.org/10.1002/bit.260420315
Publication status	Published - 1993 Jul

All Science Journal Classification (ASJC) codes

Biotechnology
Bioengineering
Applied Microbiology and Biotechnology

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10.1002/bit.260420315

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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. {\textcopyright} 1993 John Wiley & Sons, Inc.",

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Neural network modeling of batch cell growth pattern

Abstract

All Science Journal Classification (ASJC) codes

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