The possibility of recognizing complex spectral characteristics of optical breakdown using neural networks

A. V. Bulanov

V. I. Il'ichev Pacific Oceanological Institute, Far Eastern Branch of RAS, Vladivostok, Russia

Abstract: A method for analyzing the signals of laser induced breakdown spectroscopy using artificial neural networks is proposed. The possibility of using artificial neural networks to recognize complex spectral characteristics in problems of laser induced breakdown spectroscopy of marine areas in situ is shown by the example of estimating the contribution of dissolved organic and inorganic carbon in a carbon landfill.

Keywords: optical breakdown, laser spark spectroscopy, spectral lines, optoacoustic effects, ultrasound, principal component method, neural networks.

Received: 20.09.2023
Revised: 17.10.2023
Accepted: 17.10.2023

DOI: 10.61011/PJTF.2024.02.56976.19733

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