Open Access
E3S Web Conf.
Volume 267, 2021
7th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)
Article Number 01041
Number of page(s) 4
Section Energy Development and Utilization and Energy-Saving Technology Application
Published online 04 June 2021
  1. Yao J Y. Aerodynamic noise prediction of tube-axial fan based on BP artificial neural network[D]. Nanjing university, 2020. [Google Scholar]
  2. Wei Z, Deng Y C, Yang Z H. Wind farm noise prediction model based on Elman neural network[J]. Hydroelectric energy science, 2015, 33(05):203-206. [Google Scholar]
  3. Hua C L, Bi T F, Wang J X, Internal noise prediction based on neural network tools[J]. Automotive engineer, 2016(04):26-30. [Google Scholar]
  4. Li Y G. Prediction of CPU voltage noise based on BP neural network[J]. Electronic Design Engineering, 2018, 26(23):169-172+177. [Google Scholar]
  5. Li H, Xiao X B, Jin X S. Aerodynamic noise prediction of high-speed train based on neural network method[J]. Noise and vibration control, 2015, 35(03):56-59+116. [Google Scholar]
  6. Cheng J. Wind blower noise prediction based on regression analysis and BP neural network[J]. Noise and vibration control, 2013, 33(06):49-52+123. [Google Scholar]

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