ALGORITHM DEVELOPMENT OF THE OF CONSTANTLY OPERATING MATHEMATICAL MODELS FOR QUALITY CONTROL OF UNIVERSITY STUDENTS’ KNOWLEDGE

10.12737/6080 ◽  
2014 ◽  
Vol 7 (2) ◽  
pp. 40-44
Author(s):  
Стародубцев ◽  
V. Starodubtsev ◽  
Фарафонов ◽  
A. Farafonov
Keyword(s):  
Quality Control ◽  
Mathematical Models ◽  
Estimation Procedure ◽  
Group Method ◽  
Data Handling ◽  
Combinatorial Algorithm ◽  
Knowledge Quality ◽  
Calculation Process ◽  
Rational Calculation ◽  
Independent Parameters

Developed upgraded combinatorial algorithm of group method of data handling (GMDH) to identify the target functions of students’ knowledge quality (SKQ), which implements a rational calculation process with the estimation procedure of independent parameters and order of external criteria application for the optimal models selection

scholarly journals Algorithm of designing of permanent mathematical models for the purposes of quality control of knowledge of students of higher educational institutions

10.12737/8517 ◽  
2015 ◽  
Vol 4 (4) ◽  
pp. 326-332
Author(s):  
Черкасов ◽  
Oleg Cherkasov ◽  
Белокуров ◽  
Vladimir Belokurov ◽  
Стародубцев ◽  
...  
Keyword(s):  
Quality Control ◽  
Mathematical Models ◽  
Educational Institutions ◽  
Data Handling ◽  
Combinatorial Algorithm ◽  
Optimal Model ◽  
Knowledge Models ◽  
Group Data ◽  
Independent Parameters ◽  
Handling Method

The article presents modified combinatorial algorithm of group data handling method (GDHM), which is used for the purpose of identifying students´ knowledge models (SK). The developed algorithm performs the process of choosing the optimal model using both regular application of external criteria and evalua-tion mechanism independent parameters. One of the main disadvantages of the combinatorial algorithm GMDH is limited number of input parameters. It can be used if the number of independent parameters is not greater than 25.

IDENTIFICATION OF CONSTANTLY OPERATING MATHEMATICAL MODELS FOR QUALITY CONTROL OF UNIVERSITY STUDENTS’ KNOWLEDGE

10.12737/6079 ◽  
2014 ◽  
Vol 7 (2) ◽  
pp. 36-40
Author(s):  
Стародубцев ◽  
V. Starodubtsev ◽  
Фарафонов ◽  
A. Farafonov
Keyword(s):  
Quality Control ◽  
University Students ◽  
Mathematical Models ◽  
Original Method ◽  
Self Organization ◽  
Control Parameters ◽  
Effective Management ◽  
Knowledge Quality ◽  
The Face ◽  
And Control

Based on the theory of self-organization has developed an original method for identification of target functions students’ knowledge quality (SKQ) in the face of influencing factors uncertainty. The proposed system of external criteria for the models selection and control parameters allows to use the model for the effective management of the SKQ

APPLICATION OF ONE WEEK AHEAD WAVE PREDICTION FOR USING GROUP METHOD OF DATA HANDLING

2020 ◽  
Vol 76 (2) ◽  
pp. I_229-I_234
Author(s):  
Keishiro CHIYONOBU ◽  
Sooyoul KIM ◽  
Masahide TAKEDA ◽  
Chisato HARA ◽  
Hajime MASE ◽  
...  
Keyword(s):  
Group Method ◽  
Data Handling ◽  
Wave Prediction

Scoring of Tenders in Construction Projects Using Group Method of Data Handling

2020 ◽  
Vol 24 (7) ◽  
pp. 1996-2008
Author(s):  
Masoud Nouri Mehrabani ◽  
Emadaldin Mohammadi Golafshani ◽  
Mehdi Ravanshadnia
Keyword(s):  
Construction Projects ◽  
Group Method ◽  
Data Handling

Methods of Mathematical Modeling of the Leaching Process of Cobalt-Containing Solutions

2021 ◽  
Vol 316 ◽  
pp. 661-666
Author(s):  
Nataliya V. Mokrova
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Chemical Kinetics ◽  
Group Method ◽  
Data Handling ◽  
Multistage Processes ◽  
Leaching Process ◽  
Proposed Model ◽  
Simulation Results ◽  
The Mathematical Model

Current cobalt processing practices are described. This article discusses the advantages of the group argument accounting method for mathematical modeling of the leaching process of cobalt solutions. Identification of the mathematical model of the cascade of reactors of cobalt-producing is presented. Group method of data handling is allowing: to eliminate the need to calculate quantities of chemical kinetics; to get the opportunity to take into account the results of mixed experiments; to exclude the influence of random interference on the simulation results. The proposed model confirms the capabilities of the group method of data handling for describing multistage processes.

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