K. F. Tagirova

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We present main steps in developing the algorithm of dynamogram classification. They are data processing, procedures of generation and selection of features, constructing of neural network classifier and estimation of its work quality. To estimate the possibility to single out complex defects (subclasses) we analyzed the structure of the input pattern(More)
The article considers the problems of data warehouse subsystem designing as a part of the intelligent oil well control system. It is proposed to extend the Epicentre exploration and exploitation fields data model created by POSC corporation adding new entities and the hierarchy of relations to improve the suggested data warehouse. In the development process(More)
We present the key steps in the dynamogram classification algorithm development. These are data processing, procedures of generation and selection of features, constructing of a neural network classifier and estimation of its work quality. To estimate the possibility to single out complex defects (subclasses), we analyzed the structure of the input pattern(More)
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