Title :
Evaluation of biochemical sources pertinence in classification of cell´s physiological states by evidence theory
Author :
Régis, Sébastien ; Desachy, Jacky ; Doncescu, Andrei
Author_Institution :
French West Indies Univ., France
Abstract :
For analysis and modelling of the biotechnological process we must look deeper to the biological systems. Everybody knows that cell metabolism and the resulting kinetic is a complex process which could not be modelling completely by a non-linear differential system. The goal of all modelling is either the biocontrol or finding the physiological states. We want to detect the physiological states using a small number of measured signals. We present in this paper the analyses of biochemical parameters using the evidence theory. The evidence theory is also used to characterize the pertinence of the parameters. This pertinence is based on the notion of conflict. We show that our measure of conflict based on a distance provides more coherent results as the classical methods. Based on the analysis of microbiological process a method has been implemented for fermentation real-time analysis.
Keywords :
biochemistry; biology computing; biotechnology; case-based reasoning; cellular biophysics; chemistry computing; fermentation; pattern classification; biochemical sources pertinence evaluation; biocontrol; biological systems; biotechnological process; cell metabolism; cells physiological state classification; evidence theory; fermentation real time analysis; microbiological process; nonlinear differential system; Biochemical analysis; Biochemistry; Biological control systems; Biological system modeling; Biological systems; Electronic mail; Kinetic theory; Laboratories; Production; Resists;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375518