Non-linear modeling method based on near infrared spectroscopy and system thereof

A technology of near-infrared spectroscopy and modeling methods, which is applied in the direction of material analysis, measuring devices, instruments, etc. through optical means, can solve the problems of irrelevant factors interference, affecting the applicability and accuracy of models, etc., to reduce the variable dimension, Improve prediction stability and accuracy, avoid noise effect

Inactive Publication Date: 2018-02-02
SHANGHAI MICRO VISION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, a large number of samples not only brings interference between a large number of irrelevant factors, but also there are large differences betw

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  • Non-linear modeling method based on near infrared spectroscopy and system thereof
  • Non-linear modeling method based on near infrared spectroscopy and system thereof
  • Non-linear modeling method based on near infrared spectroscopy and system thereof

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Embodiment Construction

[0029] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0030] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and shape of the compo...

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Abstract

The invention provides a non-linear modeling method based on near infrared spectroscopy and a system thereof. The method comprises the following steps: spectrogram of each experimental sample is acquired and converted into near infrared spectroscopic data; a part of each near infrared spectroscopic data is picked out at random as a calibration set, and a part is picked out as a validation set; thecalibration set and the validation set undergo principal component analysis to obtain a spectral feature space; in the spectral feature space, samples in the calibration set that are the most similarto the samples of the validation set are picked out as a calibration subset through a Mahalanobis distance method; and principal component number is extracted from the calibration subset as an inputlayer of a BP neural network to establish a regression model. By the above method, the problem of multiple correlations among various factors can be solved, and much noise and some useless informationare also avoided. Variable dimension is reduced, and based on nonlinear mapping ability and adaptive learning ability of the BP neural network, predictive stability and precision of the model are raised.

Description

technical field [0001] The invention relates to the field of nonlinear modeling, in particular to a near-infrared spectrum-based nonlinear modeling method and system. Background technique [0002] Near-infrared spectroscopy is mainly the absorption of intramolecular frequency doubling and combined frequency. The spectral intensity is weak, the band is wide, and the overlap is serious. The analysis of near-infrared spectroscopy often needs to be combined with chemometric methods. Commonly used chemometric methods include multiple linear regression, principal component regression, partial least squares and other regression methods. These regression analyzes are based on the linear relationship between the spectral response and the corresponding chemical value. Ability to correct for linearity. [0003] However, there is not a strict linear relationship between spectral response and chemical value, especially for samples with complex compositions. In regression analysis, the ...

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Application Information

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IPC IPC(8): G01N21/359
Inventor 詹映薛庆逾石超
Owner SHANGHAI MICRO VISION TECH
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