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Research and Development of Wireless Intercom APP Based on PSO-BP Neural Network Algorithm

  • Qiong Wang
  • Wen Zhen Kuang
Conference paper
  • 35 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)

Abstract

The development of wireless intercom APP based on PSO-BP neural network algorithm mainly adopts Android studio 3.0 software, in which PSO-BP neural network algorithm is used to realize the speech recognition of railway standard term of trainers in the railway train operation training system. The APP mainly realizes the information management of trainers, the speech recognition of the railway standard term during the training process, and the collection and transmission of the state of the switch in different stations. By introducing the speech recognition technology realized by PSO-BP neural network algorithm into the railway train operation training system, the new train service personnel can master the various operations on the site more effectively and intelligently, and it also provides an effective platform for the assessment and evaluation of railway personnel.

Keywords

Wireless intercom APP Speech recognition PSO-BP neural network algorithm Railway train operation training system Train service personnel 

References

  1. 1.
    China Railway Corporation Transportation Bureau. Transport Technology Letter [2016] Document 66 “Vehicle Service (Dispatch) Work Points in 2016” [S]. Beijing: China Railway Corporation Transportation Bureau; 2016.Google Scholar
  2. 2.
    China Railway Corporation Transportation Bureau. [2016] document 159 “traffic safety management rules (operation). Beijing: China Railway Corporation Transportation Bureau; 2016.Google Scholar
  3. 3.
    Yin J, Wang H. Data storage based on Android. Digital Commun. 2012;39(06):79–81.Google Scholar
  4. 4.
    Zhang Z. Research on speech recognition based on composite neural network. Guizhou: Guizhou University; 2015.Google Scholar
  5. 5.
    Zhong M, Pan F, Sheng Y, et al. Short-term prediction of PV power plant output based on GA-BP and POS-BP neural network. Power Syst Prot Control. 2015;43(20):83–9.Google Scholar
  6. 6.
    Zhong Min, Pan Fei, Sheng Yuhui, et al. Speech recognition based on POS-BP neural network. Comput Knowl Technol. 2018;14(01):187–8.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Qiong Wang
    • 1
  • Wen Zhen Kuang
    • 1
  1. 1.College of Automation & Electrical EngineeringLanzhou Jiaotong UniversityLanzhouChina

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