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- W2076121678 abstract "Knowledge acquisition is still a major bottle-neck with respect to efficient computer control design of knowledge based systems in bioprocess engineering. In this paper an approach towards the automatic generation of fuzzy rules is presented and applied to data of an industrial antibiotic fermentation. Fuzzy rules generated describe the relationship between the kinetics of the preculture and the antibiotic yield of the main culture. The terms used in these rules were derived by clustering employing the fuzzy-C-means method. In order to rate and select rules and finally to optimize parameters of membership functions of fuzzy variables different criteria are discussed in relation to the aim of the knowledge based control. Results are presented with respect to process monitoring. Genetic algorithms proved suitable for optimization procedures due to the existence of multiple local optima." @default.
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- W2076121678 date "1998-09-01" @default.
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- W2076121678 title "Knowledge acquisition and knowledge based control in bioprocess engineering" @default.
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- W2076121678 doi "https://doi.org/10.1016/s0168-1656(98)00120-5" @default.
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