MODEL FOR DETERMINING CLASSIFICATION OF FILLING MATERIALS HARDENING
Author(s) -
Marat Arslanov,
S. A. Mustafin,
Zeinullin A.A.,
Kulpeshov B.S.,
Mustafin T.S.,
Е.В. Коробова
Publication year - 2020
Publication title -
news of national academy of sciences of the republic of kazakhstan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.323
H-Index - 9
eISSN - 2518-170X
pISSN - 2224-5278
DOI - 10.32014/2020.2518-170x.98
Subject(s) - stowage , a priori and a posteriori , computer science , hardening (computing) , process (computing) , series (stratigraphy) , algorithm , data mining , engineering , structural engineering , materials science , geology , paleontology , philosophy , epistemology , layer (electronics) , composite material , operating system
This paper presents the model for solving the problem of classification of trajectories of development of states of filling material in the presence of a priori information on the trajectories of processes that have already passed the development of states of the processes. Consideration of the hardening process of stowage material as a chemical-technological process, which can be considered as a multi-parameter dynamic (time) series, allows us to determine the development class of the state of the material based on the classification of the state of the stowage. The proposed approach has established the fundamental possibility of using the proposed methodology to solve the problem of dividing given trajectories represented by time series into classes. It allows us to obtain a model that, according to formal rules, determines the classification of trajectories by sets of heterogeneous features of its state at certain time and improves the reliability of the classification.
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