Modeling method of support vector machine (SVM)-based software measurement instrument in biological fermentation process

Abstract

The invention discloses a modeling method of a support vector machine (SVM)-based software measurement instrument in a biological fermentation process. The modeling method uses an optimized SVM modelto estimate fermentation products in the biological fermentation process and comprises two steps: the SVM modeling of the biological fermentation process and the confirmation of an optimal model basedon a genetic simulated annealing algorithm and an akaike information criterion. The invention provides an optimal SVM software measurement instrument model for variables difficult in online measurement in the biological fermentation process, eliminates a phenomenon of untimely control caused by time lag of a traditional offline measuring method, lays a reliable foundation for establishing the SVMmodel in the biological fermentation software measurement and has the advantages of online measurement, automatic parameter optimization, automatic input variable selection, small sample demand and high precision.

Description

technical field [0001] The invention relates to an optimized modeling method for a soft measuring instrument, specifically a method for estimating fermentation products by using an optimized support vector machine model in a biological fermentation process, and is applied to the technical field of biological fermentation soft measuring and soft instrument construction. Background technique [0002] In the modern microbial fermentation industry, some key process state variables, such as biomass concentration, lack online direct measurement methods. Biomass concentration is the main indicator of the progress of the fermentation process. Since there is no suitable online sensor to measure biomass concentration, it is very urgent and necessary to study on-line measurement of biomass concentration through soft sensor, which is also an effective way to improve fermentation production efficiency and product quality. [0003] The core of soft sensor technology is to establish the m...

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Problems solved by technology

[0005] The invention provides a modeling method based on a support vector machine soft-sensing instrument in the biological fermentation process, and provides a model optimization method in which the selection of the input amount of the support vector machine model and the setting of the support vector machine parameters are carried out simultaneously in the biological fermentation process , which overcomes the difficulty of model determination in the application of support vector machines in biological fermentation processes, and provides a reliable basis for support vector machines to establish models in biological fermentation soft measurement

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