Model of Decision Making Using Artificial Neural Networks
DOI:
https://doi.org/10.18372/1990-5548.70.16740Keywords:
neural networks, human factor, flight safety, risk management, forecasting, functional state, model for predicting, adaptive potential, factors оf destabilizationAbstract
The article makes theoretical generalizations and provides promising solutions to the scientific and theoretical problem of human factor assessment in the safety management system based on predicting the occurrence of an adverse event that may involve risks in aviation activities. The current state and prospects of developing a proactive approach to the safety risk management system and the place of the human factor in identifying sources of danger are analyzed. Generalization and current prospects for the use of artificial neural networks for forecasting tasks and their place in the decision-making system, which allowed to identify unresolved issues, justify appropriate approaches to its solution, in particular to assess the possibility of adverse events of the cardiovascular system . A method for constructing an artificial neural network for forecasting biological risk objects based on a theoretical approach using a decision-making model has been developed. The use of artificial neural networks allowed to develop a model for predicting the occurrence of a negative event of sudden disruption of the functional state of the cardiovascular system of the operator.
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