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

A support vector machine and bio-fermentation technology, applied in biochemical equipment and methods, bioreactor/fermenter combination, specific-purpose bioreactor/fermenter, etc., can solve problems such as difficulties in determining the support vector machine model, Achieve the effects of automatic parameter optimization, automatic selection of input variables, and high precision

Inactive Publication Date: 2012-05-23
JIANGSU UNIV
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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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  • Modeling method of support vector machine (SVM)-based software measurement instrument in biological fermentation process
  • Modeling method of support vector machine (SVM)-based software measurement instrument in biological fermentation process
  • Modeling method of support vector machine (SVM)-based software measurement instrument in biological fermentation process

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[0037] as the picture shows, figure 1 It is a schematic diagram of the optimization modeling method based on the support vector machine soft measurement instrument in the biological fermentation process. This figure shows the framework and basic composition of the support vector machine soft measurement instrument optimization modeling method in the biological fermentation process. figure 2 In order to optimize the flow chart of support vector machine soft measurement modeling, the figure describes the details of the optimization process. The implementation steps of the method are as follows:

[0038] Step 1: Collect historical fermentation data for the microbial fermentation process in the biological fermentor, and divide the data into training samples and prediction samples.

[0039] Step 2: Perform data normalization preprocessing operations on all historical fermentation data, and limit all variable values ​​to the interval [-1, 1], that is X ′ = - 1 + X - ...

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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 model to 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 based on 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 SVM model 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 present invention is an optimized modeling method of a soft measurement instrument, in particular a method for estimating fermentation products using an optimized support vector machine model in a biological fermentation process, and is applied to the technical fields of soft measurement of biological fermentation and soft instrument construction. Background technique [0002] In the modern microbial fermentation industry, some key process state variables, such as biomass concentration, lack direct online measurement methods. The biomass concentration is the main indicator that reflects the progress of the fermentation process. Since there is no suitable online sensor to measure the biomass concentration, the research on the online measurement of biomass concentration through soft measurement is very urgent and necessary. This is also an effective way to improve fermentation production efficiency and product quality. [0003] The core of soft-sensing tec...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/12C12M1/34
Inventor 刘国海周大为梅从立陈玉徐海霞
Owner JIANGSU UNIV
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