Research on Radar Corrosion Prediction Model Based on BP Neural Network Optimized by Genetic Algorithm
Author:
Affiliation:
1. School of Computer Science, Xi'an University of Posts and Telecommunications, China
2. School of Electro-Mechanical Engineering, Xidian University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3573942.3573955
Reference14 articles.
1. Liu Xiaofei Yao Hongchi Wang Chunyu Jin Haozhe Wang Chao. Failure analysis and prediction based on corrosion thinning behaviour of atmospheric tower top and volatilization line connection area[J]. Engineering Failure Analysis 2022 131.
2. Ma Wenlong Wang Hanxiang Wang Yongxing Neville Anne Hua Yong. Experimental and simulation studies of the effect of surface roughness on corrosion behaviour of X65 carbon steel under intermittent oil/water wetting[J]. Corrosion Science 2022 195.
3. Dianyu E. Validation of CFD–DEM model for iron ore reduction at particle level and parametric study[J]. Particuology 2020 51(prepublish).
4. Sun Lin Peng Minjun Xia Genglei Wang Xuesong Wu Mingyu. Development and Validation of Multiscale Coupled Thermal-Hydraulic Code Combining RELAP5 and Fluent Code[J]. Frontiers in Energy Research 2021.
5. Wei Mingkang Hu Xiaobin Yuan Huanxin. Residual displacement estimation of the bilinear SDOF systems under the near-fault ground motions using the BP neural network[J]. Advances in Structural Engineering 2022 25(3).
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