A UAV Combat Effectiveness Evaluation Method Based on BP Neural Network and Variance Sensitivity

To evaluate the combat effectiveness of UAV, an ADC model (Availability Dependability Capacity), a typical method for combat effectiveness evaluating, was established firstly. Aiming at the uncertainty of evaluation index in ADC method, the variance global sensitivity method is used to evaluate the model indexes, and the indexes that have great influence on the combat effectiveness are found out. At the same time, BP neural network has been used to overcome the shortcomings of traditional evaluation methods to deal with massive data.