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@inproceedings{1339222,
author = {Kromer, Pavel and Matěj, Zdeněk and Musílek, Petr and Přenosil, Václav and Cvachovec, František},
address = {Kowloon},
booktitle = {2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS},
doi = {http://dx.doi.org/10.1109/SMC.2015.461},
keywords = {fuzzy logic; neutron; spectrometry},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Kowloon},
isbn = {978-1-4799-8696-5},
pages = {2638-2642},
publisher = {IEEE},
title = {Neutron-Gamma Classification by Evolutionary Fuzzy Rules and Support Vector Machines},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7379593&tag=1},
year = {2015}
}
TY - JOUR
ID - 1339222
AU - Kromer, Pavel - Matěj, Zdeněk - Musílek, Petr - Přenosil, Václav - Cvachovec, František
PY - 2015
TI - Neutron-Gamma Classification by Evolutionary Fuzzy Rules and Support Vector Machines
PB - IEEE
CY - Kowloon
SN - 9781479986965
KW - fuzzy logic
KW - neutron
KW - spectrometry
UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7379593&tag=1
N2 - Accurate and fast methods for neutron-gamma discrimination play an essential role in the development of digital scintillation detectors. Digital detectors allow the use of state-of-the-art data analysis, mining, and classification methods in place of traditional approaches based on analog technology such as the pulse rise-time and charge-comparison methods. This work compares the ability of evolutionary fuzzy rules and support vector machines to perform accurate neutron-gamma classification. The accuracy and performance of both investigated methods are evaluated on two real-world data sets.
ER -
KROMER, Pavel, Zdeněk MATĚJ, Petr MUSÍLEK, Václav PŘENOSIL a František CVACHOVEC. Neutron-Gamma Classification by Evolutionary Fuzzy Rules and Support Vector Machines. Online. In \textit{2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS}. Kowloon: IEEE, 2015, s.~2638-2642. ISBN~978-1-4799-8696-5. Dostupné z: https://dx.doi.org/10.1109/SMC.2015.461.
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