Spectral linear expression-based oil property prediction method

[0036] (1) Determine the basic parameters n and λ of the model

[0037] The range of the number of oil samples is set to n=10-100, and the traversal search is performed with a step size of 2. In order to speed up the search and take into account the fact that the Euclidean distance of the oil sample spectrum is small, the regularization parameter λ takes logarithmic equal intervals, lg(λ)=-12~4, with a step size of 0.02. Next follow image 3 The procedure shown determines the basic parameters n and λ of the model.

[0038] Now follow figure 2 The flow shown, for the parameter combination n=10, λ=10 -12.00 Evaluate model performance:

[0039] Take the first sample in the oil sample bank as the test sample S test = S 1 =(X 1 ,Y 1 ):

[0040] Absorbance data of the first sample in table 1

[0041] spectral point

1

2

3

…

208

Absorbance

-0.0120

-0.0099

-0.0066

…

-0.0796

[0042] Its property value Y 1 = 92.4. Other sampl