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Abstract <p>This article presents an improved internet-accessible expert system, SLON, for analyzing high-resolution molecular spectra. It was developed in the Laboratory of Molecular Spectroscopy of Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences. SLON expert system is based on a neural network capable of decision making when analyzing combination differences formed by groups of molecular transitions from different rotational sublevels of the ground state to the same excited vibrational-rotational state. The set of features used by the neural network for distinguishing the correct combination difference from random realizations is improved; restrictions on the size of an analyzed spectrum are removed; the format of used databases is now universal and enables expanding the class of molecules under study. An up-to-date multi-platform user interface enables this software to be running Windows and Linux systems. The operating principles, operational experience, and prospects for the development of the created expert system are discussed.</p>

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Automatic Identification of Lines in Vibrational-Rotational Spectra: Trainable Neural Network Based Software

  • 期刊论文

  • 发表日期：

    2026年4月1日

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  • A. D. Bykov,
  • O. V. Naumenko,
  • A. P. Shcherbakov

摘要

Abstract

This article presents an improved internet-accessible expert system, SLON, for analyzing high-resolution molecular spectra. It was developed in the Laboratory of Molecular Spectroscopy of Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences. SLON expert system is based on a neural network capable of decision making when analyzing combination differences formed by groups of molecular transitions from different rotational sublevels of the ground state to the same excited vibrational-rotational state. The set of features used by the neural network for distinguishing the correct combination difference from random realizations is improved; restrictions on the size of an analyzed spectrum are removed; the format of used databases is now universal and enables expanding the class of molecules under study. An up-to-date multi-platform user interface enables this software to be running Windows and Linux systems. The operating principles, operational experience, and prospects for the development of the created expert system are discussed.