Журнал «Современная Наука»

Russian (CIS)English (United Kingdom)
 MOSCOW +7(495)-142-86-81

Development of a load classifier for a model for assessing the state of a cyberphysical system operator

Penin Andrei Semenovich  (ITMO University, St. Petersburg)

During the research work, the main biological markers of the human body were studied and those of them that met the requirements were selected for further research. A classifier of the employee's workload level was developed based on the decision tree method, the classification accuracy was 76%, the value of the loss function was 0.23. In the future, the classifier of the employee's workload level and biological markers will be combined into a model for assessing the state of the operator of a cyber-physical system.

Keywords:neural networks, multi-class classification, biomarkers, models, systems, state.
 

Read the full article …

Citation link:
Penin A. S. Development of a load classifier for a model for assessing the state of a cyberphysical system operator // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№06. -С. 123-129 DOI 10.37882/2223-2966.2022.06.29
LEGAL INFORMATION:
Reproduction of materials is permitted only for non-commercial purposes with reference to the original publication. Protected by the laws of the Russian Federation. Any violations of the law are prosecuted.
© ООО "Научные технологии"

Terms Publications

Issues of the journals (Archive)

ECONOMICS AND LAW
HUMANITIES
NATURAL AND TECHNICAL SCIENCES
COGNITION

Серия - Natural and Technical Sciences