Military Training Risk Assessment Model Assisted by Algorithms

This article aims to build a risk assessment model of military training based on algorithm, so as to accurately identify and assess the risk factors in military training and provide scientific and objective decision support for training departments. In order to achieve this goal, this study systematically sorts out and analyzes the risk factors in military training, and establishes a complete risk assessment index system. On this basis, the fuzzy neural network (FNN) algorithm is innovatively applied to build a military training risk assessment model, and a large number of historical data and expert opinions are used for training and optimization. The experimental results show that the model can accurately assess the risk factors in military training and output the corresponding risk level, which is close to the expert assessment results. This study provides a new scientific method and technical support for the safety management of military training. In the future, the model structure will be further optimized to improve the accuracy and generalization ability of the model, so as to better serve the risk assessment and safety management of military training.