Open Access
Issue
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
Article Number 03038
Number of page(s) 9
Section Computing Methods and Computer Application
DOI https://doi.org/10.1051/matecconf/202235503038
Published online 12 January 2022
  1. Lin Wang, Xinhua Bi. Risk assessment of knowledge fusion in an innovation ecosystem based on a GA-BP neural network [J]. Cognitive Systems Research, 2021(66):201-210. [Google Scholar]
  2. LI Hui, HU Cai-xia, LI Ying. Application of the Purification of Materials Based on GA-BP [J]. Energy Procedia, 2012(17): 762-769. [Google Scholar]
  3. Rui Song, Xuemin Zhang, Chen Zhou, Jing Liu, Jianhui He. Predicting TEC in China based on the neural networks optimized by genetic algorithm [J]. Advances in Space Research, 2018(62):745-759. [Google Scholar]
  4. Huajun Cao, Lei Liu, Bo Wu, Yuan Gao, Da Qu. Process optimization of high-speed dry milling UD-CF/PEEK laminates using GA-BP neural network [J]. Composites Part B, 2021(221), 1-17. [Google Scholar]
  5. Hongyang Wang, Zixin Zhang, Liming Liu. Prediction and fitting of weld morphology of Al alloy-CFRP welding-rivet hybrid bonding joint based on GA-BP neural network [J]. Journal of Manufacturing Processes, 2021(63):109-120. [Google Scholar]
  6. Meng Zou, Long Xue, Hongjian Gai, Zhaolong Dang, Song Wang, Peng Xu. Identification of the shear parameters for lunar regolith based on a GP-BP neural network [J]. Journal of Terramechanics, 2020(89): 21-29. [Google Scholar]
  7. Yanni Peng, Wanli Xiang. Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction [J]. Physica A, 2020(549):1-14. [Google Scholar]
  8. Zhenwei Wang, Yuan fei, Pengxin Ye, Fasheng Qiu, Guiyun Tian, Wai Lok Woo. Crack characterization in ferromagnetic steels by pulsed eddy current technique based on GA-BP neural network model [J]. Journal of Magnetism and Magnetic Materials, 2020(500):1-9. [Google Scholar]
  9. Dong Zheng, Zhen-dong Qian, Yang Liu, Chang-bo Liu. Prediction and sensitivity analysis of long-term skid resistance of epoxy asphalt mixture based on GA-BP neural network [J]. Construction and Building Materials, 2018(158):614-623. [Google Scholar]
  10. Shouxiang Wang, Na Zhang, Lei Wu, Yamin Wang. Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method [J]. Renewable Energy, 2016(94): 629-636. [Google Scholar]

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