Research on Radar Corrosion Prediction Model Based on BP Neural Network Optimized by Genetic Algorithm
Authors: 
Duanquan Fan, Lei Yin, Longwen ShenAuthors Info & Claims
Duanquan Fan, Lei Yin, Longwen ShenAuthors Info & ClaimsPages 83 - 88
Abstract
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.
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Published In
September 2022
1221 pages
ISBN:9781450396899
DOI:10.1145/3573942
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Association for Computing Machinery
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Published: 16 May 2023
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AIPR 2022
AIPR 2022: 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
September 23 - 25, 2022
Xiamen, China
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