Sensitivity analysis of attack helicopter combat indicators based on machine learning

Abstract

This paper focuses on sensitivity analysis in the design of Attack helicopter combat indicators, and combines the advantages of machine learning to propose a combat effectiveness oriented sensitivity analysis method for Attack helicopter combat indicators. Firstly, the steps of sensitivity analysis of Attack helicopter combat indicators based on machine learning are introduced. Secondly, through operational scenarios, constructing indicator systems, collecting relevant data, evaluating effectiveness, and using machine learning algorithms for modelling and training, the sensitivity assessment of the damage probability of Attack helicopter to ground armoured weapons can be achieved. This paper is able to provide reference for the sensitivity analysis of weapon equipment system effectiveness, and provide more scientific and reasonable support for the research and application of helicopters in combat systems.