Research on Radar Corrosion Prediction Model Based on BP Neural Network Optimized by Genetic Algorithm

This paper presents a prediction model for radar antenna corrosion based on BP neural network optimized by genetic algorithm. The initial connection weights and thresholds of the network model are optimized by the genetic algorithm, then the BP network optimized by the genetic algorithm is designed, and the method is validated by simulation using the prediction of radar whole machine corrosion as an example. The experimental results show that the prediction of radar antenna corrosion based on GA-BP meets the accuracy requirements of radar antenna corrosion prediction.