Selection method for subintervals of near infrared spectral characteristics based on simulated annealing-genetic algorithm

A simulated annealing algorithm and near-infrared spectroscopy technology, which is applied in genetic rules, genetic models, and material analysis through optical means, can solve problems such as inability to ensure the global optimal approximate solution and premature convergence of genetic algorithms, so as to improve adaptability Accuracy level, high precision and strong predictive ability

Inactive Publication Date: 2010-09-15
JIANGSU UNIV
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Problems solved by technology

In recent years, some scholars have combined the genetic algorithm with the classic interval partial least squares algorithm to select the characteristic subintervals of the near-infrared spectrum, simulate the natural evolution process such as genetic variation in nature, and solve the optimal combination of the chara

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  • Selection method for subintervals of near infrared spectral characteristics based on simulated annealing-genetic algorithm
  • Selection method for subintervals of near infrared spectral characteristics based on simulated annealing-genetic algorithm
  • Selection method for subintervals of near infrared spectral characteristics based on simulated annealing-genetic algorithm

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Embodiment

[0047] Such as Figure 7 It is the near-infrared spectrum of 100 cucumber leaves after standard orthogonal change pretreatment, and the spectral range is 10000-4000cm -1 , the number of scans is 32 times; the wavenumber interval is 7.712cm -1 ;Resolution is 16cm -1 . The spectra of 70 leaves were used as the calibration set, and the near-infrared spectra of the remaining 30 leaves were used as the prediction set. Set the minimum and maximum subintervals to 30 and 60 respectively, the number of groups to 60, the probability of gene exchange to 0.9, the probability of gene mutation to 0.01, the initial temperature to 200, the end temperature to 0.1, and the temperature decay coefficient to 0.95, using simulated annealing-genetic algorithm to select The characteristic subinterval, the specific process is as follows:

[0048] (1) When the number of subintervals is 30, the full spectrum is divided into 30 subintervals, and binary coded;

[0049] (2) The number of chromosomes i...

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Abstract

The invention discloses a selection method for subintervals of near infrared spectral characteristics based on a simulated annealing-genetic algorithm. The method comprises the following steps: pretreating a near infrared spectrum; then dynamically dividing subintervals on the pretreated near infrared spectrum, introducing an Metropolis criterion in the simulated annealing algorithm to gene exchange and gene selection operators, and selecting an optimal character subinterval with the simulated annealing-genetic algorithm; and finally judging the best subinterval division method to be combined with the optimal character subinterval and building a PLS model for the selected optimal character subinterval. In the selection method, high-quality offspring individuals can be generated through improved variation and commutating operators, not only adaptability levels of overall populations are improved, but also enough power for population evolution is provided; and deficiency brought by the total number of the spectrum subintervals manually designated according to the experiences in the process of modeling can be avoided, and spectral models with high precision and strong prediction ability can be rapidly obtained.

Description

technical field [0001] The invention relates to a method for selecting a near-infrared spectrum characteristic subinterval for analyzing the quality of agricultural products and food, in particular to a method for selecting a near-infrared spectrum characteristic subinterval based on simulated annealing-genetic algorithm. Background technique [0002] Near-infrared spectroscopy is more and more widely used in the analysis of agricultural products and food quality due to its fast analysis speed and high efficiency. Therefore, how to effectively extract characteristic information from a large amount of near-infrared spectral data has become the focus of research in this field. [0003] The characteristic absorption of the sample in one or several bands of the near-infrared spectrum determines that the wavenumber points adjacent to the high-information wavenumber point have higher information content, that is, the near-infrared spectral data has a certain continuous correlation...

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Application Information

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IPC IPC(8): G01N21/00
CPCG01N21/359G06N3/12G06N3/126
Inventor 邹小波石吉勇赵杰文殷晓平陈正伟黄星奕蔡建荣陈全胜
Owner JIANGSU UNIV
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