SmartMetals: a new method for metal identification based on fuzzy logic
Само за регистроване кориснике
2009
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Кључне речи:
spectrometry / metal properties / metal identification / metal compositionИзвор:
Journal of Chemometrics, 2009, 23, 11-12, 555-561Издавач:
- John Wiley & Sons Ltd, Chichester
DOI: 10.1002/cem.1251
ISSN: 0886-9383
WoS: 000273586400001
Scopus: 2-s2.0-70450177947
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Pocajt, Viktor AU - Ševarac, Zoran AU - Kovačević, Ana PY - 2009 UR - https://rfos.fon.bg.ac.rs/handle/123456789/520 AB - 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. PB - John Wiley & Sons Ltd, Chichester T2 - Journal of Chemometrics T1 - SmartMetals: a new method for metal identification based on fuzzy logic EP - 561 IS - 11-12 SP - 555 VL - 23 DO - 10.1002/cem.1251 UR - conv_1236 ER -
@article{ author = "Pocajt, Viktor and Ševarac, Zoran and Kovačević, Ana", year = "2009", abstract = "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.", publisher = "John Wiley & Sons Ltd, Chichester", journal = "Journal of Chemometrics", title = "SmartMetals: a new method for metal identification based on fuzzy logic", pages = "561-555", number = "11-12", volume = "23", doi = "10.1002/cem.1251", url = "conv_1236" }
Pocajt, V., Ševarac, Z.,& Kovačević, A.. (2009). SmartMetals: a new method for metal identification based on fuzzy logic. in Journal of Chemometrics John Wiley & Sons Ltd, Chichester., 23(11-12), 555-561. https://doi.org/10.1002/cem.1251 conv_1236
Pocajt V, Ševarac Z, Kovačević A. SmartMetals: a new method for metal identification based on fuzzy logic. in Journal of Chemometrics. 2009;23(11-12):555-561. doi:10.1002/cem.1251 conv_1236 .
Pocajt, Viktor, Ševarac, Zoran, Kovačević, Ana, "SmartMetals: a new method for metal identification based on fuzzy logic" in Journal of Chemometrics, 23, no. 11-12 (2009):555-561, https://doi.org/10.1002/cem.1251 ., conv_1236 .