A Method for Shaping Simulation Data from a Controlled Plant Cognitive Model
DOI:
https://doi.org/10.24160/1993-6982-2018-1-106-111Keywords:
linear regression, simulation data, dual scaling, correlation, cognitive modelAbstract
Matters concerned with shaping and using simulation data obtained from a controlled plant cognitive model specified by experts are considered. Apart from the cognitive model itself experts have to know the scales in which the values are presented and the variation ranges of the factors used as concepts in the model. The cognitive model is specified by experts on the basis of their knowledge about the processes in the controlled plant and is represented as an oriented graph or a cognitive table. Relations between the factors are detailed down to the relation’s direction, sign and strength. Simulation data are shaped proceeding from the assumption that there are latent quantitative factors that give rise to qualitative factors. The article presents formulas that allow one to determine, based on the available input data, the parameters of linear regression dependences between the factors based on which the simulation data are generated. The obtained simulation data can be used to control the cognitive model quality, as well as in using the cognitive model and in training students and experts to construct and apply the cognitive model with the use of observation data.
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Для цитирования: Фомин Г.А., Фомина Е.С. Метод формирования имитационных данных по когнитивной модели объекта управления // Вестник МЭИ. 2018. № 1. С. 106—111. DOI: 10.24160/1993-6982-2018-1-106-111.
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For citation: Fomin G.A., Fomina Ye.S. A Method for Shaping Simulation Data from a Controlled Plant Cognitive Model. MPEI Vestnik. 2018;1:106—111. (in Russian). DOI: 10.24160/1993-6982-2018-1-106-111.
