Evaluation of Operational Effectiveness for ARM System Based on BP Neural Networks

Aiming at the characteristic of the ARM attacking,this paper establishes the index system for evaluating the operational effectiveness of ARM weapon system.The reasons for selecting the indexes are analyzed briefly.Then with Delphi method,several groups of training samples are chosen to train the BP neural networks.When the training precision reaches the requirement,the BP neural networks are applied to evaluate the operation effectiveness of some typical ARM weapon system.