Quantitative analysis method for substance content
A quantitative analysis and material content technology, applied in color/spectral characteristic measurement, complex mathematical operations, etc., can solve the problems of slow learning speed, easy to fall into local minimum, large load, etc., and achieve high-precision results
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no. 1 example
[0065] Such as figure 1 As shown in the flow diagram of the first embodiment:
[0066] A method for quantitative analysis of substance content, comprising the following steps:
[0067] S100: reading the spectrum of the measured substance;
[0068] S200: setting the spectrum matrix and response matrix of the measured substance;
[0069] S300: Establish a mathematical model according to the spectral matrix and the response matrix;
[0070] S400: Solve the direction vector of the mathematical model;
[0071] S500: Repeat steps S200 to S400 to obtain several direction vectors
[0072] S600: Perform conversion according to several direction vectors to obtain a prediction function.
[0073] Preferably, in the method for quantitative analysis of substance content, the instrument for quantitative analysis of substance content is an infrared spectrometer, a spectrum analyzer, a gas chromatography-mass spectrometer, a liquid chromatography-mass spectrometer or a nuclear magnetic re...
no. 3 example
[0131] Based on the above analysis method, the results of the second specific experimental analysis and comparison are as follows:
[0132] 1. Spectral analysis of marzipan, the spectral data set consists of 32 data, and the analysis indicators are moisture and sugar. Randomly select 60% of the samples as training samples and the rest as testing samples. At the same time, random noise is added to the first five training samples, such as figure 2 It is a schematic diagram showing the water content analysis results of almond sugar in the third embodiment of the present invention.
[0133] The ordinate represents the error, and the abscissa represents the number of w. □ represents the partial least squares analysis error, △ represents the analysis error of the method of the present invention, ○ represents the partial least squares analysis error of orthogonal signal correction, and ◇ represents the principal component regression analysis error of 1 norm.
[0134] 2. Pork spec...
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