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Genetic Neural NetworkQuantitative analysis method for laser induced breakdown spectroscopy based on gGenetic Neural Networkgenetic neural network

A genetic neural network and laser-induced breakdown technology, applied in the field of quantitative analysis of laser-induced breakdown spectroscopy based on genetic neural network, can solve the problem of difficulty in selecting a global initial point, lack of theoretical basis for neural networks, slow convergence, etc. question

Inactive Publication Date: 2010-12-15
ZHEJIANG NORMAL UNIVERSITY
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Problems solved by technology

The BP algorithm uses the gradient descent method to find the optimal solution of the problem in the weight and threshold space, so the convergence speed is slow and it is easy to fall into a local minimum
In addition, different initial weight settings may cause large differences in convergence and generalization errors. However, the selection of initial connection weights and thresholds of neural networks lacks theoretical basis and has great randomness. global starting point
Therefore, the possibility of obtaining the global optimum with BP neural network is small, limiting its role

Method used

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  • Genetic Neural NetworkQuantitative analysis method for laser induced breakdown spectroscopy based on gGenetic Neural Networkgenetic neural network
  • Genetic Neural NetworkQuantitative analysis method for laser induced breakdown spectroscopy based on gGenetic Neural Networkgenetic neural network
  • Genetic Neural NetworkQuantitative analysis method for laser induced breakdown spectroscopy based on gGenetic Neural Networkgenetic neural network

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Embodiment Construction

[0052] An application example of the present invention is presented below, and the present invention will be further explained here in combination with the accompanying drawings and examples, but the present invention is not limited to this example.

[0053] In this example, the LIBS system is used to obtain sample spectral data. The system is mainly composed of Q-switched pulsed Nd:YAG laser, fiber optic spectrometer, fast photodiode, two-dimensional precision mobile platform and computer. The laser light source is a pressure-reducing Nd:YAG Q-switched pulse laser, the wavelength of the fundamental frequency light is 1064nm, the pulse width is 10ns, the beam diameter is 6mm, and the single pulse laser energy is adjustable within the range of 20-300mJ. The multi-channel fast-trigger small fiber optic spectrometer (Avantes company) consists of a CCD detector, a small fiber grating, a digital pulse delay generator, a signal acquisition system and related software. The linear arr...

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Abstract

The invention belongs to a quantitative analysis method for a laser induced breakdown spectroscopy and particularly relates to the quantitative analysis method for the laser induced breakdown spectroscopy based on a gGenetic Neural Networkgenetic neural network. In an element quantitative detection technology based on the laser induced breakdown spectroscopy and the gGenetic Neural Networkgeneticneural network, laser-induced breakdown spectroscopy (LIBS) data are analyzed by combining an artificial neural network (ANN) with the genetic algorithm (GA for short) so as to realize the quantitative detection of elements. Compared with the traditional LIBS internal calibration method and the traditional BP(Back Propagation)-ANN method, the method has the advantages of little influence from the matrix effect, simple and quick process, avoidance of local convergence, high reliability of quantitative detection and the like.

Description

technical field [0001] The invention belongs to a quantitative analysis method of laser-induced breakdown spectrum, in particular to a quantitative analysis method of laser-induced breakdown spectrum based on a genetic neural network. Background technique [0002] Laser Induced Breakdown Spectroscopy (LIBS for short), as a kind of atomic emission spectroscopy, is a spectral detection technology that has gradually emerged in recent years. LIBS uses a high-intensity pulsed laser to excite the sample to generate plasma, obtains and analyzes atomic and ion emission lines through a spectrometer, and identifies the existence of substances and conducts quantitative analysis based on the position and signal intensity of the analysis lines. LIBS technology has the characteristics of no need for complicated sample pretreatment, fast operation, and the ability to analyze multiple elements at the same time. It is very suitable for real-time detection of elemental components in gases, li...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/63G06N3/08
Inventor 周卫东沈沁梅
Owner ZHEJIANG NORMAL UNIVERSITY
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