Influence of information noise on inference procedures of fuzzy expert systems for fermentation control and management

A possibility for enrichment of the methodology of expert system development based on a simulation of the probabilistic component of information vagueness is proposed. Using this concept, Gaussian noise with different sizes of dispersion was applied to the experimental values of the main physiological state variables in phenylalanine fermentation by genetically manipulated Echerichia coli. These variables were introduced at the input of the recognition block of the expert system, imitating noisy experimental data. It is shown that implementation of this approach can reveal some important characteristics of expert systems and can be useful for their improvement.

[1]  Qi Chen,et al.  Application of Expert System to the Operation and Control of Industrial Antibiotic Fermentation Process , 1989 .

[2]  Toshiomi Yoshida,et al.  On-Line Monitoring of Representative Structural Variables in Fed-Batch Cultivation of Recombinant Escherichia coli for Phenylalanine Production , 1990 .

[3]  T Yoshida,et al.  The way to adequate control of microbial processes passes via real-time knowledge-based supervision. , 1992, Journal of biotechnology.

[4]  Rami Zwick,et al.  Combining stochastic uncertainty and linguistic inexactness: Theory and experimental evaluation , 1988, Int. J. Approx. Reason..

[5]  Toshiomi Yoshida,et al.  An expert approach for control of fermentation processes as variable structure plants , 1990 .

[6]  Kim J. Vicente,et al.  Coping with Human Errors through System Design: Implications for Ecological Interface Design , 1989, Int. J. Man Mach. Stud..

[7]  Michimasa Kishimoto,et al.  Computer control of glutamic acid production based on fuzzy clusterization of culture phases , 1991 .

[8]  Yasuhisa Abe,et al.  Application of fuzzy control theory to the sake brewing process , 1991 .

[9]  Isao Endo,et al.  Knowledge Based Diagnosis in Lactic Acid Fermentation , 1992 .

[10]  Erwin Kreyszig,et al.  Introductory Mathematical Statistics. , 1970 .

[11]  Toshiomi Yoshida,et al.  Physiologically motivated strategies for control of the fed-batch cultivation of recombinant Escherichia coli for phenylalanine production , 1991 .

[12]  Kazuyuki Shimizu,et al.  Neuro-Fuzzy Control of Bioreactor Systems with Pattern Recognition , 1992 .

[13]  K. B. Konstantinov,et al.  On-Line Monitoring of the Physiological State of the Cell Population in a Bioreactor , 1992 .