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SmartMetals: a new method for metal identification based on fuzzy logic

Nema prikaza
Autori
Pocajt, Viktor
Ševarac, Zoran
Kovačević, Ana
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentu
Apstrakt
This paper presents a method of searching, identifying and cross-referencing metal alloys based on their chemical composition and/or mechanical properties, typically obtained by analysis and tests. The method uses a general pattern similar to the approach of a human expert, and relies on a classification of metals based on metallurgical expertise and fuzzy logic for identifying metals and comparing their chemical and mechanical properties. The algorithm has been tested and deployed in real applications for fast metal identification and finding of unknown equivalents, by the leading companies in the field. The same principles can also be used in other domains for similar problems, such as organic and inorganic materials identification and generic drugs comparison. Copyright (C) 2009 John Wiley & Sons, Ltd.
Ključne reči:
metal identification / metal composition / metal properties / spectrometry
Izvor:
Journal of Chemometrics, 2009, 23, 11-12, 555-561
Izdavač:
  • John Wiley & Sons Ltd, Chichester

DOI: 10.1002/cem.1251

ISSN: 0886-9383

WoS: 000273586400001

Scopus: 2-s2.0-70450177947
[ Google Scholar ]
URI
https://rhinosec.fb.bg.ac.rs/handle/123456789/38
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  • Radovi istraživača
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