Physiological State Inferring Module of Baker's Yeast Cultures in Fed-Batch Cultivations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F03%3A00007538" target="_blank" >RIV/60461373:22340/03:00007538 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Physiological State Inferring Module of Baker's Yeast Cultures in Fed-Batch Cultivations

Original language description

This paper presents successful application of machine learning and pattern recognition algorithms in building up physiological state inferring module. The methodology is demonstrated and verified on data gathered during experimental cultivations of the yeast strain Saccharomyces cerevisiae. Only limited number of inexpensive, reliable and basic measurements is required to provide excellent classification of the physiological state of the cells. Proposed methodology is by no means limited to the growth of Saccharomyces cerevisiae. The proposed methodology may even be used by skilled domain experts to validate their experience and intuition and bring more insight and accuracy into the problem.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proc. of 14th Int. Conf. on Process Control PC '03

ISBN

80-227-1902-1

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

"PC063/1"-"PC063/6"

Publisher name

Slovak University of Technology

Place of publication

Bratislava

Event location

Štrbské Pleso

Event date

Jun 8, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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