Determination Method of Sample Components Based on Incremental Partial Least Squares Method
A partial least squares method and partial least squares technology, applied in measuring devices, material analysis through optical means, instruments, etc., can solve the problems of low modeling efficiency, long training time, large space consumption, etc., and achieve prediction error Small size, more modeling time, time and space saving effect
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[0150] Experimental Example 1: Determination of compound traditional Chinese medicines containing paeoniflorin
[0151] 1. Experimental purpose
[0152] (1) In the decoction of traditional Chinese medicine, a reasonable time can be determined to obtain the original drug whose paeoniflorin concentration meets the requirements;
[0153] (2) Verify whether incremental partial least squares (ie IPLS) can process incremental data more effectively than traditional partial least squares (ie PLS).
[0154] 2. Sample recipe and process:
[0155] [Prescription] Bupleurum 180g Corydalis (Zhi) 200g Baishao 240g Zhigancao 100g
[0156] [Preparation method] The above four flavors are boiled twice with water, the first time is 8 times the amount, and it is boiled for 2 hours, and the second time is 6 times the amount, and it is boiled for 1 hour.
[0157] 1. Experiment preparation and sampling rules:
[0158] (1) The experimental equipment and medicinal materials are extracted from 10L t...
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[0254] Experimental Example 2: Verify the effectiveness of the method of the present invention through simulation experiments on grain, soil and grass sample data sets
[0255] 1. Experimental data source
[0256] The grain dataset was provided by Eigenvector Research. The data contains the NIR spectra and corresponding material content (moisture, oil, protein and starch) of 80 grain samples. The spectral acquisition range was 1100-2498 nm, and the acquisition interval was 2 nm.
[0257] In the experiments, the dataset is divided into 60 training samples and 20 testing samples using the Kennard-Stone (KS) method. The training set also uses KS to extract 30 as the initial training set of IPLS1, and 30 as its incremental training set.
[0258] The soil dataset is the absorbance of organic matter content in soil samples. The soil samples came from a long-term field trial in the city of Abisko in northern Sweden. The data contains 108 soil samples with a spectral acquisition ...
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