Title :
Construction of recognition system at the uranium production process
Author :
Bektemyssova, G. ; Kuandykov, A. ; Im Cho Young ; Muhamediyev, R. ; Iskakov, S. ; Khamitov, A.
Author_Institution :
IITU, Almaty, Kazakhstan
Abstract :
Taught systems such as artificial neural network (ANN) can be used for data interpretation of electric logging. Using only the ANN algorithm gives the result of coincidence between interpretable data and experimental results in certain samplings from 66% to 73%. But using additional algorithms of recognition and comparing the results of recognition could enhance quality of recognition by 1-3%. The problem of building recognition system by ensemble of classification algorithms was formulated. The paper describes the recognition algorithms which used in research, results of recognition and the process of construction of Recognition System.
Keywords :
learning (artificial intelligence); mineral processing; neural nets; pattern classification; uranium; ANN algorithm; artificial neural network; classification algorithm; data interpretation; electric logging; recognition system; uranium production process; Artificial neural networks; Erbium; Lithology; ensemble of algorithms; machine learning; uranium deposit;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9932-1506-9
DOI :
10.1109/ICCAS.2014.6987791