Application of Computational Intelligence Methods for the Automated Identification of Paper-Ink Samples Based on LIBS.

ABSTRACT: Laser-induced breakdown spectroscopy (LIBS) is an important analysis technique with applications in many industrial branches and fields of scientific research. Nowadays, the advantages of LIBS are impaired by the main drawback in the interpretation of obtained spectra and identification of observed spectral lines. This procedure is highly time-consuming since it is essentially based on the comparison of lines present in the spectrum with the literature database. This paper proposes the use of various computational intelligence methods to develop a reliable and fast classification of quasi-destructively acquired LIBS spectra into a set of predefined classes. We focus on a specific problem of classification of paper-ink samples into 30 separate, predefined classes. For each of 30 classes (10

SUBMITTER: Rzecki K 

PROVIDER: S-EPMC6263904 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature