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ARTICLE
Application of the forest classifier method for description of movements of an oscillator forced by a stochastic series of impulses
1
AGH University of Krakow, Faculty of Mechanic Engineering and Robotics, Krakow, Poland
Submission date: 2022-10-27
Final revision date: 2023-07-27
Acceptance date: 2023-08-25
Online publication date: 2023-10-18
Publication date: 2023-10-31
Corresponding author
Marek Sulewski
Department of Mechanic Engineering and Robotics, AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland
Department of Mechanic Engineering and Robotics, AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland
Journal of Theoretical and Applied Mechanics 2023;61(4):819-831
KEYWORDS
TOPICS
ABSTRACT
The article discusses the analysis of motion of an oscillator forced by a sequence of stochastic
impulses with the use of decision tree algorithms and a random forest classifier. The aim of
this paper is to verify the accuracy of distinguishing distributions in the desired time period
and to check whether the length of the time interval affects the accuracy of data classification.
Moreover, the statistical parameters directly influencing classification of distributions
are presented. The analysis has been performed in Python environment, the data were obtained
in computer simulation. The results of classification for two classification algorithms
with regard to two divisions of the test and training set sizes are presented. In case of the decision
tree classifier, it has been observed that for each time interval this algorithm classifies
the data achieving a high level of accuracy, but for the purpose of data classification for each
time period it selects different statistics, which makes it impossible to unequivocally determine
which statistic influences the recognition of distribution. In case of the random forest
classification algorithm, the importance and influence of the parameters on the distribution
between the three distributions are the same both in 5-minute and 10-minute intervals. The
differences between significance of the parameters depending on length of the interval are
not significant.
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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