Pattern recognition methods for classification of soils based on their radionuclide content
Само за регистроване кориснике
2006
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes,
according to regions in Serbia and Montenegro from which they were collected. Their
radionuclide (226Ra, 238U, 235U, 40K, 134Cs, 137Cs, 232Th and 7
Be) activities detected by
gamma-ray spectrometry were then used as the inputs in different pattern recognition
methods. The prediction ability of linear discriminant analysis (LDA), k-nearest
neighbours (KNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively.
Извор:
Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia, 2006, 1, 454-456Издавач:
- Belgrade : The Society of Physical Chemists of Serbia
Институција/група
Tehnološko-metalurški fakultetTY - CONF AU - Dragović, Snežana AU - Onjia, Antonije PY - 2006 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/7232 AB - Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes, according to regions in Serbia and Montenegro from which they were collected. Their radionuclide (226Ra, 238U, 235U, 40K, 134Cs, 137Cs, 232Th and 7 Be) activities detected by gamma-ray spectrometry were then used as the inputs in different pattern recognition methods. The prediction ability of linear discriminant analysis (LDA), k-nearest neighbours (KNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively. PB - Belgrade : The Society of Physical Chemists of Serbia C3 - Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia T1 - Pattern recognition methods for classification of soils based on their radionuclide content EP - 456 SP - 454 VL - 1 UR - https://hdl.handle.net/21.15107/rcub_technorep_7232 ER -
@conference{ author = "Dragović, Snežana and Onjia, Antonije", year = "2006", abstract = "Multivariate data analysis methods were used to recognize and classify soils of unknown geographic origin. A total of 103 soil samples were differentiated into classes, according to regions in Serbia and Montenegro from which they were collected. Their radionuclide (226Ra, 238U, 235U, 40K, 134Cs, 137Cs, 232Th and 7 Be) activities detected by gamma-ray spectrometry were then used as the inputs in different pattern recognition methods. The prediction ability of linear discriminant analysis (LDA), k-nearest neighbours (KNN), soft independent modelling of class analogy (SIMCA) and artificial neural network (ANN) were 82.8%, 88.6%, 60.0% and 92.1%, respectively.", publisher = "Belgrade : The Society of Physical Chemists of Serbia", journal = "Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia", title = "Pattern recognition methods for classification of soils based on their radionuclide content", pages = "456-454", volume = "1", url = "https://hdl.handle.net/21.15107/rcub_technorep_7232" }
Dragović, S.,& Onjia, A.. (2006). Pattern recognition methods for classification of soils based on their radionuclide content. in Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia Belgrade : The Society of Physical Chemists of Serbia., 1, 454-456. https://hdl.handle.net/21.15107/rcub_technorep_7232
Dragović S, Onjia A. Pattern recognition methods for classification of soils based on their radionuclide content. in Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia. 2006;1:454-456. https://hdl.handle.net/21.15107/rcub_technorep_7232 .
Dragović, Snežana, Onjia, Antonije, "Pattern recognition methods for classification of soils based on their radionuclide content" in Physical Chemistry 2006 : proceedings of the 8th International Conference on Fundamental and Applied Aspects of Physical Chemistry, September 26-29, 2006, Belgrade, Serbia, 1 (2006):454-456, https://hdl.handle.net/21.15107/rcub_technorep_7232 .