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- W4387053693 abstract "Photoacoustic spectroscopy is a powerful, non-destructive, ultrasensitive technique that covers a wide range of applications including atmospheric monitoring, industrial, environmental, and biomedical practice. In this paper, our attention is focused on the area of artificial intelligence implementation in photoacoustic spectroscopy of gases. Artificial intelligence has been proven as a very successful, effective, and promising method for the accurate and real-time determination of photoacoustic signal parameters, related to relaxation, thermal and other physical properties of various media (i.e., for solving the inverse photoacoustic problem). To improve the sensitivity and selectivity of the photoacoustic method feedforward multilayer perceptron network is applied for real-time simultaneous determination of photoacoustic signal parameters: vibrational-to-translational relaxation time, and radius of the laser beam. Also, to solve the problem of finding optimal values of these photoacoustic parameters, metaheuristic algorithms, genetic algorithms and simulated annealing are used. The performance of artificial intelligence methods has been tested on a set of experimental signals generated in the (SF6+Ar) gas. The potential advantages and disadvantages of those methods are discussed." @default.
- W4387053693 created "2023-09-27" @default.
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- W4387053693 date "2023-07-20" @default.
- W4387053693 modified "2023-10-03" @default.
- W4387053693 title "ARTIFICIAL INTELLIGENCE APPLICATION IN PHOTOACOUSTIC OF GASES" @default.
- W4387053693 doi "https://doi.org/10.22190/fuwlep2301031l" @default.
- W4387053693 hasPublicationYear "2023" @default.
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