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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
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.
China Railway Corporation Transportation Bureau. [2016] document 159 “traffic safety management rules (operation). Beijing: China Railway Corporation Transportation Bureau; 2016.
Yin J, Wang H. Data storage based on Android. Digital Commun. 2012;39(06):79–81.
Zhang Z. Research on speech recognition based on composite neural network. Guizhou: Guizhou University; 2015.
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.
Zhong Min, Pan Fei, Sheng Yuhui, et al. Speech recognition based on POS-BP neural network. Comput Knowl Technol. 2018;14(01):187–8.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, Q., Kuang, W.Z. (2020). Research and Development of Wireless Intercom APP Based on PSO-BP Neural Network Algorithm. In: Patnaik, S., Wang, J., Yu, Z., Dey, N. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2019. Advances in Intelligent Systems and Computing, vol 1060. Springer, Singapore. https://doi.org/10.1007/978-981-15-0238-5_40
Download citation
DOI: https://doi.org/10.1007/978-981-15-0238-5_40
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0237-8
Online ISBN: 978-981-15-0238-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)