Performance evaluation model of shortwave communication equipment based on AHP+BP

Addressing issues such as strong subjectivity, inadequate equipment evaluation indicators, and low utilization of routine maintenance and testing data in the current performance evaluation of shortwave communication equipment, a performance evaluation model for shortwave communication equipment based on the Analytic Hierarchy Process (AHP) and Back Propagation (BP) neural network is proposed. Firstly, the performance indicators for shortwave communication equipment are refined, and the AHP is used to establish an equipment performance evaluation system, combined with existing maintenance data to form a training sample set. Then, the BP neural network model is employed to train a reasonable performance evaluation model for shortwave communication equipment. Finally, the model was tested, and the results demonstrated that this method can scientifically, accurately, and objectively evaluate the performance indicators of the equipment, providing a reference for the support and maintenance of shortwave communication equipment.