Integration of results from recognition algorithms and its realization at the uranium production process

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 re...

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Bibliographic Details
Main Authors: Gritsenko, P., Iskakov, S., Muhamediyev, R., Yakinin, K.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Artificial neural networks
Biological neural networks
Classification algorithms
ensemble of algorithms
Estimation
Lithology
machine learning
pseudocode
Rocks
Support vector machines
uranium deposit
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Summary: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 integrating the results of recognition could enhance quality of recognition by 1-3%. The problem of integration of classification algorithms results was formulated and realization as pseudocode was shown.
DOI:10.1109/ICAICT.2014.7035940