Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Successive projection algorithm based near-infrared wavelength variable selecting method

A wavelength variable and projection algorithm technology, applied in the field of analytical chemistry, can solve problems such as low operating efficiency, high calculation time, and poor model robustness, and achieve the effect of scientific selection and dimensionality reduction

Active Publication Date: 2014-07-16
CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above method is difficult to determine the number of sub-intervals, and iterative calculations are required to determine the optimal number of sub-intervals, resulting in high calculation time and low operating efficiency; The subjectivity of the model leads to poor robustness of the model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Successive projection algorithm based near-infrared wavelength variable selecting method
  • Successive projection algorithm based near-infrared wavelength variable selecting method
  • Successive projection algorithm based near-infrared wavelength variable selecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0029] First, preprocess the near-infrared spectrum to eliminate the noise caused by the signal drift of the instrument itself and environmental changes during the data acquisition process. The commonly used spectral preprocessing methods include SNV (Standard Orthogonal Transformation), OSC (Multiple Scattering Correction), wavelet Transformation, etc.; at the same time, the calibration set and prediction set samples can be divided, such as using the K-S algorithm based on Euclidean distance, the SPXY algorithm considering qualitative variables, etc.

[0030] Realize the flow chart of the present invention as figure 1 As shown, set the following parameters:

[0031] X(n×m): correction set spectrum array,

[0032] α: Threshold floating upper limit ratio, β: Threshold floating lower limit ratio, 0<β<1<α<2,

[0033] h: number of wavelength va...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a successive projection algorithm based near-infrared wavelength variable selecting method. The selecting method includes classifying a full spectrum into a relevant wave number point set, an irrelevant wave number point set and a noise wave number point set by means of a weighted value method, selecting a wave number point set from the relevant wave number point set and the irrelevant wave number point set, establishing a rectifying model, and judging importance of newly selected wavelength variables by means of rectangular projection. The successive projection algorithm based near-infrared wavelength variable selecting method overcomes the linear dependence, effectively reduces data dimensions, extracts interpretation information to the greatest extent, and ensures the established rectifying model to be with high stability.

Description

technical field [0001] The invention relates to a near-infrared wavelength variable selection method for analyzing the quality of petroleum or agricultural products, in particular to a near-infrared wavelength variable selection method based on a continuous projection algorithm, and belongs to the technical field of analytical chemistry. Background technique [0002] Near-infrared analysis technology is a rapidly developing high-tech analysis technology in the field of analytical chemistry. It has the advantages of non-destructive, non-polluting, good analysis reproducibility, and low cost. It is widely used in petrochemical, agricultural, food and other industries. For example, in the petrochemical field to measure the octane number of oil products, and in the agricultural field to measure the protein and fat content of grains. However, the near-infrared region (780-2526nm) mainly reflects the combined frequency of hydrogen-containing groups (-OH, -NH, -CH) and the absorpti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F19/00
Inventor 刘永福徐泽宇赵健林远长何国田石珍朱晓强吴姣娇
Owner CHONGQING INST OF GREEN & INTELLIGENT TECH CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com