A simplified general artificial neural network for the modelization of culture kinetics of different CHO strains

被引：0

作者：

Marique, T ^{[1
]}

Cherlet, M ^{[1
]}

Hendrick, V ^{[1
]}

Godia, F ^{[1
]}

Kretzmer, G ^{[1
]}

Werenne, J ^{[1
]}

机构：

[1] Free Univ Brussels, B-1050 Brussels, Belgium

来源：

ANIMAL CELL TECHNOLOGY : BASIC & APPLIED ASPECTS, VOL 12 | 2002年

关键词：

D O I：

暂无

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Animal cell cultures display very complex nonlinear behaviors, difficult to simulate by analytical modeling. Artificial Neural Networks, while being black box models, possess learning and generalizing capacities that could lead to better results. We first trained a three layer perceptron to simulate the kinetics of five important parameters (biomass, lactate, glucose, glutamine and ammonia concentrations) for a series of CHO K1 batch cultures. We then tried to use the same trained model to simulate the behavior of recombinant CHO Tf70R. This was achieved, but necessitated to synchronize the time-scale of CHO Tf70R with that of CHO K1.

引用

页码：73 / 76

页数：4

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