Application of data mining in biotechnological process

Author

Nakkabi, Y. ; Doncescu, A. ; Roux, G. ; Polit, M. ; Guillou, V.

Author_Institution

LBB, CNRS, Toulouse, France

Volume

7

fYear

2002

fDate

6-9 Oct. 2002

Abstract

The supervision of biotechnological processes is very difficult to realize by a human operator. The processes are complex and characterized by dynamic behavior. This is the consequence of the existence of living cells and other micro-organism. The satisfactory mathematical model is nonlinear and it is difficult to identify its parameters from such experiments. The paper presents a methodology to design a discrete event system (DES) for the supervision task of a biotechnological process. The DES is synthesized by applying fuzzy logic techniques to the measured signals constrained to the biotechnologist expert validation.

Keywords

biotechnology; data mining; discrete event systems; fermentation; fuzzy logic; fuzzy set theory; learning (artificial intelligence); microorganisms; pattern clustering; process control; DES; biotechnological process; biotechnologist expert validation; biotechnology; data mining; discrete-event system; dynamic behavior; fuzzy logic techniques; living cells; microorganism; supervision task; Artificial intelligence; Biotechnology; Chemical processes; Control systems; Data mining; Evolution (biology); Fungi; Logic; Process control; Proteins;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2002 IEEE International Conference on

ISSN

1062-922X

Print_ISBN

0-7803-7437-1

Type

conf

DOI

10.1109/ICSMC.2002.1175704

Filename

1175704